4 Locations Jobs

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a North & East Europe regional Senior Sales Account Manager for State & Local Government and Smart Spaces. You will own strategic relationships with leading cities, public-sector organizations, and smart-space operators in this role. Your focus will be on positioning NVIDIA’s platforms and AI Factory strategy as the engine for modernizing public services and improving competitiveness across the region. This is an outstanding opportunity to be a part of an ambitious team driving remarkable AI-powered transformation in public sectors! We will uncover and develop new opportunities, expand NVIDIA’s regional footprint, and work with cross-functional teams to accelerate adoption of AI and Digital Twins in city environments. What you'll be doing: Promoting revenue development for NVIDIA’s Smart Cities, Smart Spaces, and Local Government solutions Building robust pipelines and supporting enterprises and governments to deploy AI responsibly across mobility, urban planning, sustainability, energy efficiency, public safety, inspection, and citizen services. Developing long-term relationships with senior city leaders, CIOs, CTOs, ministers, mayors’ offices, public-sector agencies, and ecosystem partners to position NVIDIA as their trusted AI transformation partner. Leading a robust pipeline linked to priority initiatives. These include digital twins for planning, VLM-powered video analytics, agentic AI for public service automation, and sovereign AI strategies for local governments. Engaging with various NVIDIA technology partners and identifying areas of collaboration from technical to business needs. Influencing industry standards and guidelines, helping build policy, governance models, and responsible AI approaches across EMEA public-service markets. Driving talent development and local capacity building, helping cities build innovation hubs and develop the next generation of public-sector AI skills. What we need to see: BSc in Business, Engineering, Computer Science, or related field, or equivalent experience. MBA a plus. 10+ years of proven ability in vertical public-sector transformation and technology systems, AI platforms, cloud/edge software. Experience working with public-sector entities, including local government, city councils, ministries, smart-city authorities, urban mobility agencies, or critical infrastructure operators. Working knowledge of public procurement mechanics in at least two markets in the region: framework agreements, competitive dialogue, direct award routes, and applicable funding instruments. Ability to build influence across political, technical, and operational collaborators. Excellent communication and executive-presence skills, with the ability to present sophisticated AI concepts to both technical and non-technical audiences. Leadership skills: self-starter, autonomous, high integrity, and collaborative. Language requirements: Proficient in English, Arabic and/or Turkish is required. Ways to stand out from the crowd: Proven success with large city or national digital-transformation projects. Experience delivering AI or digital twin outcomes with measurable community impact. Inspirational communication style capable of mobilizing partners and collaborators. Understanding sales motion for robotics, autonomous systems, digital twins or computer vision into physical operating environments. Equally for AI, data centre or sovereign cloud infrastructure, with enough command of power, siting and phased build-out to lead the conversation. If you're ready to take on this outstanding opportunity and help NVIDIA continue to lead the world in technology innovation, apply now! Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. For Poland: The cash compensation range is 435,000 PLN - 754,000 PLN for Level 4, and 547,500 PLN - 949,000 PLN for Level 5. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a highly motivated Senior HPC Support Engineer – Ethernet / AI Infrastructure to be engaging with our prestige customers, passionate about data center and networking technologies, to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of groundbreaking networking products. As a member of our NVEX Global Technical Support team, you are a conscientious, proficient communicator who is fundamentally interested in taking ownership in resolving issues, while ensuring that a high level of customer satisfaction is maintained and delivered. Significant part of the role is also to collaborate with Engineering, Marketing, and Support teams regularly on technical issues. What you will be doing: Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproductions, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (multi-distro), with the focus on NVIDIA Ethernet Switching technologies and our End-to-End Solutions such as NVIDIA Spectrum-X. Responding to customer product support inquiries via telephone, email or conference calls Resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors Participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc. As a technical resource develop, re-define and document standard methodologies to provide to internal teams(Support/R&D) for support process and improvements What we need to see: 5+ years in providing in-depth Customer Support and debugging for hardware and software products. Shown use of established Agentic AI technologies (Claude, Codex, Cursor) in day-today job responsibilities. Established knowledge of Enterprise platform and systems engineering who understands Linux triage, knowledge about servers and can resolve hardware and/or OS internal issues. Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented including professional-level communication skills, interpersonal skills, with the ability to maintain and lead the overall resolution for any critical issue raised by our customer, under all circumstances. An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience). Excellent communication, presentation/oral/verbal and written English skills Profound knowledge and experience (solving) in the following skills: Networking Technology, protocols and routing including TCP, UDP, Ethernet, IP, L2, L3 (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF), on Enterprise Level. Linux OS including System Administration and Networking (LFCS / RHCSA) Able to debug networking protocols using tools such as TCPDUMP and Wireshark or similar packet generation and analysis tools. Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, containers/containerization (i.e. Docker, Kubernetes) Strong organizational skills and able to prioritize/ multi-task easily with limited supervision. Ways to stand out from the crowd: Knowledge and working experience with the following: Experience in solving problems in large-scale networking and AI Infrastructure environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts Clustering or HPC Data-Center technologies including Upper Layer Protocols (i.e., NCCL, MPI, Slurm/SchedMD). Linux, Networking and NVIDIA AI Infrastructure and Operations Certifications such as CCONP, CCIE, JNCIE-DC/ENT, RHCE, LFCS, NCP-AII/AIO/AIN Shell Scripting (Python, bash, Ansible, yaml, etc…) Effective and comprehensive fixing / debugging methodology Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 172,500 USD for Level 3, and 120,000 USD - 207,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are applying accelerated computing and AI to define the next era of computing. Doing what has never been done before takes vision, innovation, and exceptional talent. As an NVIDIAN, you will work in a diverse, supportive environment where people are encouraged to do their best work and make a lasting impact. NVIDIA is looking for a Principal Segment Sales Manager to build and scale the business for infrastructure software that improves the performance, security, efficiency, and serviceability of AI data centers. NVIDIA BlueField DPUs and DOCA enable networking, cybersecurity, storage, and host-infrastructure services to run on an accelerated and programmable data-processing platform. You will own the segment sales motion across DOCA services and the BlueField software ecosystem, including networking, cybersecurity and storage use cases. You will work with customers, account teams, software vendors, OEMs, cloud providers, and channel partners to turn technical integrations and early customer demand into repeatable, paid software and support revenue growth. What you'll be doing: Build the segment strategy, target-customer plan, pipeline, forecast, and competitive view for DOCA and BlueField infrastructure software. Develop opportunities across data center networking, application delivery, cybersecurity, cloud-native infrastructure, storage and data services. Identify and convert lighthouse customers and ecosystem partners, including security and storage software vendors, OEMs, cloud service providers, systems integrators, and enterprise infrastructure teams. Create repeatable commercialization paths from technical integration through validation, launch, paid adoption, software and support attach, renewal, and expansion. Shape complex opportunities across pricing, packaging, licensing, entitlement, support, and partner routes in collaboration with Product, Engineering, Finance, Legal, Operations, and Support. Translate customer requirements into clear business opportunities spanning model-serving environments, data movement, networking, storage, security, performance, scalability, and operational efficiency. Lead customer and partner discovery, executive value discussions, technical validation planning, and commercial follow-through across multiple buying centers. Create seller and partner plays that explain how infrastructure software produces measurable customer outcomes, and equip the field to qualify and progress opportunities. What we need to see: A bachelor's degree or equivalent experience. 15 or more years of experience in segment sales, specialist sales, business development, product sales, technical sales, or partner go-to-market for enterprise infrastructure software. Demonstrated success building a market or segment plan, qualifying complex opportunities, inspecting pipeline, forecasting, shaping deals, and converting early customer demand into repeatable revenue. Solid practical experience with data center networking and modern application infrastructure, such as Ethernet, switching and routing, application delivery, load balancing, multi-cloud networking, Kubernetes, APIs, or cloud-native platforms. Experience in cybersecurity markets or solutions, such as network security, cloud security, zero-trust architectures, firewalls, SASE, application and API security, or security operations. Background with storage infrastructure or data services and an understanding of how networking, compute, memory, storage, and security interact in modern data centers. Experience with host networking, storage infrastructure, and software-defined data center platforms, including how networking, compute, storage, and security interact in modern environments. Experience bringing enterprise software, subscription or consumption offers, support services, or platform solutions to market through direct and partner channels. Ways to stand out from the crowd: Experience with DPUs, SmartNICs, infrastructure offload, programmable data planes, or software-defined networking and security. Familiarity with NVIDIA BlueField, DOCA, or related networking, cybersecurity, storage, and infrastructure software ecosystems. Experience building joint solutions and go-to-market motions with networking, security, storage, cloud, or AI infrastructure software vendors. A record of using adoption, attach, renewal, customer-outcome, and revenue data to improve go-to-market priorities and investment decisions. NVIDIA is widely considered to be one of the world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 248,000 USD - 396,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join our team and discover how you can develop a lasting impact on the world. Quantum computing is accelerating from lab to utility, and NVIDIA sits at the center of that shift. We are seeking a Senior Technical Program Manager to lead high-impact strategic R&D initiatives within quantum computing. You will lead across our applied research R&D roadmap to craft clarity and success. We are innovating groundbreaking techniques for quantum in AI and accelerated computing, so that useful fault-tolerant quantum computing arrives sooner. Partner across engineering, applied research, and product teams inside NVIDIA, and with external collaborators, you will build and operationalize innovation roadmaps that pioneer ahead. Success in this role includes outstanding program leadership, communication, and problem solving. If you're passionate about bringing quantum computing into the fault-tolerant era with accelerated computing, we would love to hear from you! What you'll be doing: Initiate and lead multiple concurrent technical programs across our quantum computing portfolio, with emphasis on bringing the full power of accelerated computing to the field. Define clear execution plans and measurable outcomes from our R&D and technology roadmaps, then lown the work to success across teams. Identify & prioritize the most critical activities required for the research's success, and ensure that they are completed. Develop a strong technical understanding of our R&D priorities, to enable successful collaborations, and proactively identify new opportunities. Creatively solve and mitigate technical challenges, while establishing early risk identification and mitigations. Serve as a link between research and engineering, moving new technologies from incubation to scalable solutions. What we need to see: Bachelor’s degree or equivalent experience in Computer Science, Engineering, Physics, Applied Mathematics, or a related technical field. 10+ years of technical program management experience leading large-scale, cross-functional technology initiatives, including multiple sophisticated programs at once and execution alongside research, engineering, and technical leadership. Validated understanding of the quantum computing ecosystem and technologies, including hardware and software. Excellent communication and presentation skills, with the ability to translate sophisticated technical concepts for a range of audiences. Ways to stand out from the crowd: Advanced degree (MS or PhD or equivalent) in quantum information science, physics, or a closely related field, or hands-on research or engineering experience inside a quantum program. Background in translating research output to developed technology. Familiarity with GPU-accelerated computing, HPC environments, or hybrid quantum-classical workflows and the tooling around them. Experience running joint technical programs with national laboratories, companies, universities, or research institutions. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA reinvented itself over two decades, inventing the GPU in 1999 to reshape PC gaming and modern computer graphics. As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering teams worldwide. You will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. You will then guide teams to improve, and sometimes re-invent those flows. You will enable our engineers to have the best tools on the planet to make the most innovative chips in the world. You will perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of our flows and services, and other infrastructure. You will work with your team of EDA and software experts to build new infrastructure in an agile, production software environment. You will continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips! What you’ll be doing: Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light. Participate in the full life-cycle of tool development, test, and deployment. Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments. Build metrics that are reliable and easy to use by hundreds of engineers around the world. Continuously improve our chip development process. Directly contribute to the overall quality and time to market for our next generation chips. What we need to see: Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment. Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments. Hands-on experience with EDA tools. Experienced in UNIX Systems programming and automation using Python and/or Shell. Authoritative level usage of UNIX and UNIX utilities. Excellent planning and communication skills. Experience in applying data analysis principles and influencing data-driven decisions. Flexibility/adaptability working in a dynamic environment with changing requirements. BS in Computer Science or equivalent experience; MS (preferred). 5+yrs of relevant experience. Ways to stand out from the crowd: Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM). Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles. Strong programming and debugging skills with C/C++, Python, and Perl on UNIX. A passion for improving engineering productivity and efficiency via data-driven philosophy. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The Tegra Team searching for a creative and highly motivated engineer with expertise in system software to join the Tegra system-on-chip (SOC) Software organization. You will design key aspects of our Tegra SoC kernel drivers and embedded Software. This role will be dedicated to advancing ARM SoC on pre-silicon and silicon platforms. Join us to build a world class System software team. What you'll be doing: Design, develop and verify features for our next generation SoC architecture, collaborating with hardware engineers and fellow software engineers. Heavily involved with the early modeling simulation required to produce our outstanding products. Working closely with the hardware, silicon, pre-silicon teams to bring-up new platforms, products, and prototype systems. Involved in SoC bringup with a focus on enabling the core OS software on new platforms. Get to craft, develop, unit test, document and maintain features for Tegra SoCs. You will influence hardware architecture and system software by creating architecture and design specification. What we need to see: BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience 5+ years of relevant software development experience Proven leadership skills and strong ownership on past projects Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs Outstanding C programming and low-level driver experience; background and strength with complex system-level debugging Experienced with ARM based processor architecture Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.) Ways to stand out from the crowd: Background with Chip or Board bring-up Experience developing high quality embedded code Experience with JTAG and other debugging tools Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

We are looking for an AI Factory Solution Architect. NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers. If you enjoy system building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution. What You'll Be Doing: Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers. Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications. Be an internal champion for Deep Learning and Infrastructure among the NVIDIA technical community. Support Development activities and engage in POCs/POVs to validate new features, and architectures. Develop solutions and showcase the AI ecosystem. What We Need To See: B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience. 5+ years in software development or ML engineering. Extensive ability to solve problems within the customer infrastructure. Practical expertise with on-premises Kubernetes (K8S) infrastructure-orchestration and platform. Experience working with containers and MLOps tools. Background with modern Deep Learning software architecture and frameworks including PyTorch, vLLM and TritonServer. Capable of working in a constantly evolving environment without losing focus. Committed with strong analytical and problem solving skills. Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. Ways To Stand Out From The Crowd: Technical knowledge of developer digital platforms and their trends. Experience working with Nvidia operators. Expertise in operating Kubernetes, as well as experience writing or customizing Kubernetes configurations. Background in deploying large-scale multi-node training and inferencing pipelines. Good presentation skills NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. What you'll be doing: Drive Timing Analysis and Closure: Lead the timing analysis and closure processes for NVIDIA's GPUs, CPUs, LPUs, and SoCs at block level, cluster level, and full chip level. Collaborate with Cross-Functional Teams: Work closely with RTL, DFX, Clocks, and other teams to devise timing closure strategies, create timing constraints, and drive timing and power convergence as well as implement ECOs. Contribute to Cutting-Edge Projects: Play a pivotal role in the success of our innovative projects and advancement of our technology. Leverage your expertise to improve timing convergence flows in collaboration with methodology teams. What we need to see: BS (or equivalent experience) in Electrical or Computer Engineering with 5 years’ experience or MS (or equivalent experience) with 3 years’ experience in Timing and STA Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management. Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis. Experience in physical design and optimization e.g., synthesis, placement, routing, logic restructuring, etc. to improve timing and power. Expertise and in-depth knowledge of industry standard STA and timing convergence tools. Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes. Ways to stand out from the crowd: Background in domain specific STA and timing convergence, such as GPUs, CPUs, LPU or SOCs Background in logic synthesis and equivalence checking/FV. Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc. Understanding and timing closure of digital logic/macros in AMS designs/IPs. Experience in methodology and/or flow development as well as automation. NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

IntelHQI 89

Job Details: Job Description: The Role and Impact As a SoC Design Verification Engineer, you will play a pivotal role in ensuring that Intel's complex System-on-Chip (SoC) designs meet functional specifications and deliver high-quality performance. You will design scalable and reusable verification plans, develop test environments, and execute tests to uncover issues and improve functionality. Your contributions will directly enhance Intel's product quality and ensure optimal performance in presilicon development. Business Group You will be joining Intel's cutting-edge product development group, a team focused on designing and verifying advanced semiconductor solutions. This group is at the forefront of innovation, delivering high-quality, scalable products that drive Intel's leadership in technology and performance. By contributing your skills here, you will help shape the future of computing and enable groundbreaking advancements in the industry. Key Responsibilities - Define and develop scalable and reusable block, subsystem, and SoC verification plans. - Create test benches and verification environments that align with microarchitecture specifications. - Execute verification plans, including emulation and system simulation models, to ensure design functionality and uncover bugs. - Debug and root cause issues in presilicon environments, implementing corrective measures to address failures. - Collaborate with architects, RTL developers, postsilicon teams, and physical design teams to improve verification of complex architectural features. - Document and maintain test plans, driving technical reviews with design and architecture teams. - Integrate security coverage activities within test plans, including regression and debug tests. - Maintain and improve existing functional verification infrastructure and methodologies. - Absorb learnings from postsilicon development and incorporate feedback into improved verification strategies. Expected Professional Traits: - Passion for tackling complex problems and delivering innovative solutions. - Strong communication skills and ability to work collaboratively across interdisciplinary teams. - Experience with postsilicon validation and incorporating feedback into presilicon test plans. Qualifications: Minimum Qualifications - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with 3+ years of hands-on experience in SoC design verification, including demonstrated expertise in OVM/UVM methodologies, debugging, and test planning. OR - Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with 2+ years of hands-on experience in SoC design verification, including demonstrated expertise in OVM/UVM methodologies, debugging, and test planning. OR - PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Preferred Qualifications - Familiarity with emulation models and system simulation tools for performance analysis. - AI tools to perform verification - Experience with postsilicon validation and incorporating feedback into presilicon test plans Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Texas, Austin Additional Locations: US, California, Folsom, US, California, Santa Clara, US, Oregon, Hillsboro Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $141,910.00-200,340.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology. Benefits Internships Life at Intel Locations Recruitment Process

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is looking for a Principal Segment Sales Manager to build and scale the business for software that helps customers design, validate, deploy, manage, and operate AI factory networks. You will own the segment sales motion with NVIDIA Cloud Partners and across simulation, fabric management, automation, AI infrastructure software offerings, and adjacent software and services. This role connects customer priorities with NVIDIA's account teams, product leaders, engineering teams, OEMs, NVIDIA Cloud Partners, and channel partners. You will turn early customer demand and technical adoption into repeatable, paid software and support growth with clear customer value, measurable usage, and scalable routes to market. What you'll be doing: Build the segment strategy, target-customer plan, pipeline, forecast, and competitive view for NVIDIA AI factory fabric software. Identify and convert lighthouse customers into repeatable software and services growth. Develop account and partner plans for fabric management and automation software, and adjacent AI infrastructure offerings, including adoption, software and support attach, renewal, and expansion. Shape deal strategy and resolve commercial blockers across pricing, packaging, entitlement, support, licensing, and partner routes in collaboration with Product, Finance, Legal, Operations, and Support. Create scalable seller, OEM, and channel plays that translate technical capabilities into clear customer outcomes and measurable business value. Establish operating metrics for pipeline quality, product adoption, active usage, paid attach, renewals, and expansion, and use those signals to prioritize the business. Bring recurring customer and field feedback to Product, Product Marketing, Engineering, and Support, then close the loop with the field on decisions and next steps. Represent the business with technical and executive stakeholders and communicate recommendations clearly in a fast-moving environment. What we need to see: A bachelor's degree or equivalent experience. 15 or more years of experience in segment sales, product sales, business development, partner go-to-market, or a related role in enterprise software, cloud infrastructure, networking, or AI data centers. Proven success building a market or segment plan, qualifying complex opportunities, inspecting pipeline, forecasting, shaping deals, and converting early customer demand into repeatable motion. Experience bringing enterprise software, subscription or consumption offers, support services, or platform solutions to market through direct and partner channels. Proven practical experience with AI data center infrastructure and networking, with the ability to discuss customer workflows across building, simulation, validation, deployment, network orchestration, process automation, and operations. Experience influencing account teams, product groups, engineering organizations, OEMs, NVIDIA Cloud Partners, enterprise customers, and channel partners without relying on formal authority. Clear, concise communication and sound business judgment aligning customer, technical, and commercial priorities. Ways to stand out from the crowd: Experience with Ethernet or InfiniBand fabrics, network management or automation software, cloud platforms, AI factory design, or infrastructure simulation and validation. Experience developing software and services motions with systems integrators and ecosystem partners. Familiarity with NVIDIA networking and AI infrastructure offerings such as Spectrum-X, DSX Air, UFM. A record of using adoption, usage, attach, renewal, customer-outcome, and revenue data to improve go-to-market priorities and investment decisions. NVIDIA is widely considered one of the technology world’s most desirable employers and offers highly competitive salaries. Our benefits include world-class medical, dental, and vision care. We also provide strong equity and stock options, retirement savings plans, and generous parental leave policies to support you and your family. Visit www.nvidiabenefits.com to explore everything we offer. Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 248,000 USD - 396,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA’s DGX Cloud organization is seeking a Senior Data Engineer to become part of its data team! We develop the reliable data foundation that supports fleet health, capacity, utilization, cost, reliability, and operational decision-making throughout DGX Cloud. Our platform supports engineering, operations, finance, and product teams managing and expanding large GPU fleets across cloud service providers and NVIDIA Cloud Partners. We are looking for a practical engineer and technical lead to take charge of a key part of the Navigator data platform. We develop the systems that transform distributed infrastructure telemetry and operational data into dependable, managed data products that support fleet health, capacity, utilization, cost, and operational decisions. You will be responsible for the architecture, technical plan, and production results of a major platform area like ingestion and orchestration, data quality and reconciliation, or data serving and consumption. You will clarify requirements with customers, define technical objectives, guide design and development among engineers and partner teams, and stay actively engaged in coding, debugging, and production tasks. Successful candidates have already led complex technical work across team boundaries and delivered improvements that other groups adopted. Our primary implementation environment is Python, SQL, Databricks, and Spark. What you’ll be doing: You will own a major platform component and its roadmap. For example, define its architecture, interfaces, technical goals, and evolution. Anticipate capacity, compatibility, and operational needs over a multi-year horizon, and translate them into achievable breakthroughs that balance immediate delivery with long-term maintainability. Lead technical delivery across teams. Work with customers and interested parties to clarify vague requirements. Break down design and implementation work for contributing engineers. Establish release turning points and manage dependencies and delivery risks. Guide the work process, revise plans when requirements shift, and keep management and partner teams informed and aligned. Build data pipelines and products. Plan and carry out batch and streaming ingestion, transformation, reconciliation, and serving processes for fleet, capacity, utilization, cost, scheduling, and operational telemetry. Establish data models and agreements that remain stable as sources, consumers, and scale progress. Develop shared platform capabilities. Direct the creation and adoption of libraries, workflow and DAG or comparable experience abstractions, deployment tools, and standard implementation approaches. Partner with related teams to solve shared challenges and evaluate progress in onboarding time, engineering effort, reliability, and cost. Lead complex production investigations. Serve as the technical point of accountability for issues spanning pipelines, applications, SQL engines, Spark, storage, networks, and cloud services. Coordinate investigations across owners, drive resolution of release blockers and critical issues from partners, and implement preventive measures. Define quality, security, and operational expectations. Establish and implement testing, data-quality, reconciliation, lineage, SLO, and release-readiness standards for your platform area. Partner with security and infrastructure teams on trust boundaries, service identities, least privilege, secrets, environment isolation, and auditability, and drive adoption across contributing teams. Make trusted data usable. Deliver well-modeled tables, APIs, automation, dashboards, and focused internal applications. Align with consumers on semantics, access patterns, freshness, compatibility, and ownership so that shared capabilities support dependable operational decisions. Provide technical leadership through others. Guide design reviews, mentor engineers taking on larger ownership, and resolve technical disagreements using evidence and clear tradeoffs. Partner with leadership on priorities and explain how technical investments support DGXC objectives. What we need to see: BS or MS in Computer Science, Engineering, or a related field (or equivalent experience), and at least 12+ years of equivalent experience A sustained record of building and operating production software, data platforms, databases, or distributed systems. This includes owning a major component or complex project from requirements and architecture through release and ongoing operation. Proven ability to outline a component’s technical plan, establish objectives for engineers, assign design and implementation tasks, and guide delivery within your team and nearby teams with little supervision. Extensive practical experience in one or more of these areas: distributed processing using Spark or a similar system; relational, distributed, or analytical databases; production ETL, change-data capture, streaming, or event handling; or backend and cloud platforms managing large data volumes. You must grasp the interfaces and failure modes of nearby layers thoroughly to inform solid architectural choices. Strong software-engineering fundamentals and production proficiency in Python or another backend or systems language, with the ability and willingness to work primarily in Python and SQL. Experience designing reusable abstractions, reviewing substantial changes, and personally implementing and debugging critical code paths. Strong SQL and data-modeling skills, with practical depth in query execution, incremental processing, schema evolution, consistency, and analytical consumption. Ability to reason about idempotency, replay, late-arriving data, partial failure, and correctness across system boundaries. Experience leading complex investigations involving multiple components and teams. Ability to use logs, metrics, traces, query plans, profiles, and controlled experiments to establish root cause, coordinate resolution, and prevent recurrence. Demonstrated architectural judgment: evaluating alternatives, anticipating future requirements, and balancing reliability, performance, cost, security, compatibility, and maintainability. Experience leading significant migrations or architectural changes while preserving production service. Experience establishing production quality and operational practices that other engineers adopt, including testing, CI/CD, monitoring, alerting, rollback, incident response, and secure deployment. Proven success in influencing technical decisions without official authority, advising engineers outside your immediate project, and advancing workflow improvements across closely related teams. Ability to simplify complex issues, offer a course of action, and communicate decisions and delivery risks clearly. Ways to stand out from the crowd: Proven expertise in building, refining, and running Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, or Unity Catalog workloads along with shared platform features. Experience designing and operating Kafka or comparable streaming systems, including partitioning, consumer behavior, offset management, backpressure, replay, and schema compatibility. Experience scaling, migrating, or tuning relational, distributed, time-series, object-storage, or information retrieval systems, including Elasticsearch or OpenSearch. Background operating compute or GPU clusters, or working with Kubernetes, Slurm, cloud infrastructure, and fleet telemetry across AWS, Azure, GCP, or other providers. Experience building production agentic systems or agent harnesses, including tool integration, context management, evaluation, permissions, observability, and failure recovery. Evidence of measurable improvements in engineering productivity or operational outcomes. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

IntelHQI 89

Job Details: Job Description: The Role and Impact As a SoC Cache Design Engineer, you will play a pivotal role in developing cutting-edge Cache subsystem design for Intel's AI SoCs. You will drive the micro architecture, register transfer level (RTL) coding, subsystem integration, and simulation processes to deliver high-quality, fully verified Cache that meet power, performance, and area targets. Your work will directly contribute to Intel's groundbreaking AI hardware solutions, ensuring they meet the rigorous demands of modern applications. Business group Intel's AI SoC organization is at the forefront of developing innovative products that power AI applications across diverse domains. From edge devices to data center accelerators, our team focuses on delivering high-performance, efficient, and scalable hardware solutions. As part of this group, you will collaborate with world-class engineers to advance Intel's leadership in AI hardware development and help shape the future of intelligent computing. Key Responsibilities - Evaluate architectural trade-offs to align design features with performance targets, power constraints, and system limitations. - Define and document microarchitecture specifications for complex SoC IP blocks, implement RTL in Verilog/SystemVerilog, and deliver synthesis- and timing-clean designs. - Collaborate closely with verification teams to ensure comprehensive validation and coverage of all design aspects. - Develop and maintain timing constraints for IP blocks, supporting physical design teams in synthesis, timing closure, and formal equivalence checks. - Lead silicon bring-up efforts, including post-silicon validation, debug, and performance analysis. - Mentor junior engineers and contribute to advancing best practices for design methodology and quality assurance. Qualifications: Minimum Qualifications - Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, with 12+ years of experience in RTL design for ASIC/SoC development; OR Master's degree in relevant field with 8+ years of experience; OR PhD in relevant field with 6+ years of experience. - Advanced proficiency in RTL design using Verilog/SystemVerilog and hands-on experience in SoC system integration. - Expertise in standard bus protocols (AXI, AHB) and embedded processor architectures. - Demonstrated ability to address design challenges, including clock domain crossings, power optimization, and timing closure. - Proficiency in scripting languages (e.g., Python, TCL) for automation and design flow customization. Preferred Qualifications - Strong knowledge of high-speed and low-power design techniques. - Familiarity with industry-standard EDA tools such as HDL simulators (VCS, Questa, IES), lint tools (Spyglass), and FPGA prototyping tools (Xilinx Vivado, Altera Quartus II). - Experience in SoC multicore CPU subsystem design and GPU cache development. - Collaborative mindset and leadership skills, with a passion for innovation and solving complex technical challenges. Join us to shape the next generation of AI hardware and make an impact on tomorrow's technological advancements. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, California, Santa Clara Additional Locations: US, California, Folsom, US, Oregon, Hillsboro, US, Texas, Austin Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $220,920.00-311,890.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology. Benefits Internships Life at Intel Locations Recruitment Process

IntelHQI 91

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact As a SoC Power Thermal Performance Validation and Optimization Engineer, you will play an essential role in ensuring Intel's products achieve optimal power, thermal, and performance benchmarks at the system-on-chip (SoC) level. In this position, you will develop and execute validation methodologies, optimize hardware/software solutions, and perform SoC-level debugging to address power, thermal, and performance challenges. Your contribution will directly impact Intel's ability to deliver competitive, high-performing products to market. Business Group This role is part of Intel's Data Center Group (DCG), which focuses on designing innovative solutions to power the next generation of computing platforms for data centers. As a member of the PTP PreSi Correlation Solution team, you will contribute to shaping the development and validation processes for cutting-edge technologies, ensuring Intel meets and exceeds industry standards for performance and efficiency. Key Responsibilities: Develop and execute SoC-level power, thermal, and performance validation and optimization plans across Intel products. Collaborate with architecture, design, firmware, and software teams to ensure power, thermal, and performance meet competitive targets and specifications. Establish and execute methodologies for validating hardware/software optimizations and ensure alignment with business KPIs. Perform SoC-level debug to identify root causes and resolve functional and triage failures related to power, thermal, and performance. Configure and set up data loggers to collect and analyze thermal data. Develop and maintain validation infrastructure, including performance monitors, behavioral checkers, and testing environments. Produce comprehensive validation reports summarizing activities and results, and communicate findings effectively to relevant teams. Drive continuous improvements to validation strategies, methodologies, and processes. Well qualified candidates should possess the following behavioral traits: • Strong analytical and problem-solving aptitude. • Effective communication and documentation skills for cross-functional collaboration. • Ability to work across team in multi-faceted groups (architecture, design, verification, firmware, software, and platform teams.) Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. What we need to see (Minimum Qualifications): Education: Bachelors in electrical, Computer Engineering, or related field. A master's degree is preferred. Experience: • 3+ years of experience in SoC power and performance validation. • 3+ years of experience in Pre-Si simulation and emulation. • 3+ years of experience developing and / or optimization of power/performance KPI's. Technical Skills (2+ Years of experience in each): • Debugging experience for SoC-level power, thermal, and performance failures. • Knowledge of hardware/software optimizations for power and performance. • Experience of silicon verification, test program development and test plan execution. • Knowledge of RTL language, in-circuit emulation and FPGA fast prototyping is an advantage. • Experience with Python Programming language. How to Stand out (Preferred Qualifications): • Graduate degree (Masters or PhD). • Knowledge of DSP, ETHERNET, and 3G/4G/5G. • 2+ years' experience in SoC FPGA/Emulation function. • 2+ years' experience with System (SoC) level debug using JTAG debuggers. • 1+ year experience in Pre-Si functional design, validation, and/or HW/FW/SW integration. • 1+ year experience on major Pre-Si platforms: logic simulation, virtual platform, FPGA, and/or emulation. • Expertise in system-level power management of real-time processors and systems. • Understand MIPI MPHY, JTAG, DDR, PCIe/USB/PCI-E/ETHERNET/SPMI bus protocol. • Familiarity with validation tools such as data loggers, behavioral checkers, and state space coverage techniques. • Familiar with system board design/debugging and usage of lab equipment like Oscilloscope and Logic analyzer. •Knowledge of AI accelerators systems including GFX, NPU, NPP design and architecture. • Experience with performance modeling, benchmarking, and validation infrastructure setup. • Debugging experience for SoC-level power, thermal, and performance failures. • Familiarity with validation tools such as data loggers, behavioral checkers, and state space coverage techniques. • Knowledge of hardware/software optimizations for power and performance. Benefits at Intel Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Texas, Austin Additional Locations: US, California, Folsom, US, California, Santa Clara, US, Oregon, Hillsboro Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $122,440.00-232,190.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology. Benefits Internships Life at Intel Locations Recruitment Process

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA as an Account Manager – AI Natives, Startups / Scaleups where you'll be part of a team encouraging innovation in accelerated computing! This role is pivotal to advance NVIDIA’s connections with the next generation of AI-native startups and scaleups, speeding up their progress using NVIDIA AI technology. If you’re passionate about making a lasting impact and thrive in an encouraging environment, this opportunity is for you! What you will be doing: Engage AI Natives startups, and labs to understand their goals, strategies, and technical and business needs. Help define and deliver high-value solutions that meet these needs. Act as ambassador for AI native companies across extended ecosystems, including developer communities, cloud partners, solution providers, and enterprises. Partner with Solution Architects, Business Development, engineering, and go-to-market channels across regions to drive demand for our AI platforms. Codify the customer value proposition. Build partner and customer references and case studies. Watch for and develop emerging use cases to help cultivate new opportunities. Attend industry events to represent NVIDIA and recruit and engage the ecosystem. What we need to see: Bachelor’s degree or equivalent experience from a leading University, Master’s/MBA or meaningful experience. 5+ years of significant work experience, inclusive of AI Natives, startup, scaleup, labs ecosystem. Deep knowledge of AI industry business development and driving adoption and growth of technology-based solutions in the space of generative and agentic AI. Excellent written, verbal, and presentation communication skills are crucial. Work comfortably across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers. Understanding of NVIDIA's full stack architecture across software, servers, and cloud. Ways to stand out from the crowd: Contact network within existing and emerging AI Natives startup and research communities. Good knowledge of the extended regional AI ecosystem. Machine learning, data analytics, and artificial intelligence experience are preferred. Innovative and creative flair, yet able to follow operational processes within the field. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. For Poland: The cash compensation range is 345,000 PLN - 598,000 PLN for Level 3, and 435,000 PLN - 754,000 PLN for Level 4. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA’s DGX Cloud organization is seeking a Senior Data Engineer to become part of its data team! We develop the reliable data foundation that supports fleet health, capacity, utilization, cost, reliability, and operational decision-making throughout DGX Cloud. Our platform supports engineering, operations, finance, and product teams managing and expanding large GPU fleets across cloud service providers and NVIDIA Cloud Partners. We are looking for a practical engineer and technical lead to take charge of a key part of the Navigator data platform. We develop the systems that transform distributed infrastructure telemetry and operational data into dependable, managed data products that support fleet health, capacity, utilization, cost, and operational decisions. We are seeking a hands-on, platform-minded engineer to build and evolve the systems that turn distributed infrastructure telemetry and operational data into reliable, governed data products. You will work across ingestion, transformation, data quality, platform architecture, security, observability, and self-service consumption to help make Navigator and the DGXC data platform a dependable source of truth. We do expect strong engineering fundamentals, experience operating production systems, and the ability to learn new platforms and domains quickly. What you'll be doing: Own systems end to end. For example, work from ambiguous customer and operational needs through architecture, implementation, deployment, observability, incident response, and ongoing support. Construct data pipelines and products. Such as designing and maintain batch and streaming ingestion, transformation, reconciliation, and serving paths for fleet, capacity, utilization, cost, scheduling, and operational telemetry. Build shared libraries, workflow and DAG or equivalent experience abstractions to evolve the data platform. Develop deployment tooling, data contracts, and paved-road patterns that improve team speed and safety. Engineer reliable distributed workloads. As well as diagnose correctness and performance issues across applications, SQL engines, Spark jobs, storage systems, networks, and cloud services. Build for retries, idempotency, backfills, schema evolution, and partial failure. Treat security as part of the build. For example, applying least privilege, service identities, secrets management, access controls, environment isolation, auditability, and safe operational practices throughout the system lifecycle. Improve quality and operations: Establish automated tests, data-quality checks, lineage, freshness and completeness monitoring, actionable alerting, SLOs, and clear ownership. Deliver consumption experiences. Such as making trusted data usable through well-modeled tables, APIs, automation, dashboards, and focused internal applications—not only through one-off queries. Raise the engineering bar. Lead build reviews, communicate tradeoffs, mentor other engineers, and improve the team's architecture, testing, debugging, and operational practices. What we need to see: BS or MS in Computer Science, Engineering, or a related field, or equivalent experience. 5+ years of experience building and operating production software, data platforms, backend infrastructure, databases, or distributed systems. Strong software-engineering fundamentals and production proficiency in Python or another backend or systems language, with the ability and willingness to work primarily in Python and SQL. Deep hands-on experience in at least one of the following areas: Distributed data processing using Spark or a comparable compute framework, Relational, distributed, or analytical database architecture and operation at scale, Production ETL, change-data-capture, streaming, or event-processing systems, Backend or cloud-platform systems that process, transform, or serve substantial data volumes, Strong SQL and data-modeling skills, including a practical understanding of query performance, schema evolution, incremental processing, consistency, and analytical consumption patterns. Demonstrated ability to debug unfamiliar systems across multiple layers using logs, metrics, traces, query plans, profiles, and controlled experiments to find root causes. Experience operating services or pipelines in a cloud or similarly complex production environment, including testing, CI/CD, monitoring, alerting, rollback, and incident response. Working knowledge of secure platform development, including identity and access management, least privilege, secret handling, trust boundaries, and safe multi-environment deployments. Ability to make sound architectural tradeoffs, own work through ambiguity, and communicate effectively with users, partner teams, and engineers from different fields. A track record of learning unfamiliar technologies and domains and turning that learning into maintainable systems and reusable team practices. Experience with AI agents and LLM-supported workflow automation, particularly as applied to engineering and operational activities. Ways to stand out from the crowd: Experience with Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, Unity Catalog, or another modern lakehouse or distributed-compute platform. Experience with Kafka or another streaming platform, change-data capture, event development, partitioning, consumer groups, offset management, or other high-volume event systems. Experience with scaling, migrating, or performance-tuning relational, distributed, time-series, object-storage, or search-focused data systems, including Elasticsearch or OpenSearch. Background working with AWS, Azure, GCP, Kubernetes, Slurm, compute clusters, GPU-accelerated infrastructure, or fleet-scale telemetry. Experience developing agentic systems, LLM-enabled workflow automation, harness engineering, or dependable evaluation and operational tooling for AI agents. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

We are looking for a passionate and energized engineer to accelerate the integration of APIs across the CUDA-X math library software stack into modern LLM and agentic AI workflows. Leading organizations globally are using GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. Our team develops the GPU-accelerated libraries and SDKs essential for these technologies. In this role, you will be responsible for ensuring both human engineers using LLMs and AI agents alike to build high-performance applications with ease through effective utilization of CUDA-X libraries. Do you have the rare blend of technical, developer experience and communication skills? If so, we would love to learn more about you! What You'll Be Doing: Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases. Build metrics, tools and processes to measure impact and quality of LLM/agentic code generation. Prototype tooling and solutions to help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools. What We Need To See: PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience) 3+ years of experience Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling Proven experience designing clear, composable APIs and writing high-quality, well-documented code for complex technical domains Ability to prioritize multiple projects and work independently with minimal direction Excellent collaboration, communication, and documentation habits Ways To Stand Out From The Crowd: Prior work in AI-assisted software engineering, code generation, or programming language design Familiarity with CUDA-X math library APIs: cuBLAS, cuFFT, cuSOLVER, cuSPARSE, etc. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA's Infrastructure Specialists team is hiring a Senior Solutions Architect - AI Factory Observability & Visualization! This remote role develops full-spectrum visibility that supports the smooth functioning of HPC systems and AI factories, transforming intricate telemetry across network and compute into straightforward, actionable perspectives. The role has a complete, end-to-end understanding of the HPC/AI system, running and interpreting microbenchmarks and workloads to confirm system readiness, then establishing the observability that maintains this state. The work involves collaborating across NVIDIA teams to help partners see, understand, and respond to HPC system and AI factory performance, from hardware to workload. What You Will be Doing: Run AI factory validation tools, microbenchmarks, and workloads provided by the team, and interpret results to assess system health and performance. Gain a comprehensive understanding of the system from start to finish, including network topology, interconnects, and compute. Establish what "healthy" represents across the stack — the metrics, logs, and signals that confirm a system is functioning well, and the thresholds that show it isn't. Build and extend the telemetry surface across hardware, fabric, and workload, crafting how data is collected, transformed, stored, and surfaced. Serve as the observability expert, investigating gaps in visibility to ensure it reflects true system behavior. Develop automation (Python, Shell) for collecting, transforming, and presenting system and network data. Recommend improvements to system visibility, data sources, and reporting that give teams clearer insight. Collaborate with hardware, software, networking, datacenter, and product groups to ready HPC systems and AI factories for customer deployment, contributing documentation and readiness materials throughout the process. What We Need to See: Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or related field. 6+ years of experience managing Linux-based systems in HPC, distributed systems, or large AI/ML settings. Hands-on experience with the architecture of multi-GPU and/or multi-node clusters, including networking and interconnects. Solid grasp of how HPC and AI factory systems fit together end to end, from network fabric through compute. Proficiency with Python and Shell/Bash for scripting, automation, and tooling. Practical experience working with observability systems (e.g., Prometheus, Grafana, Loki, or similar), including building custom exporters or collectors, setting up alerts, and handling metric cardinality and retention on a large scale. Experience transforming metrics, logs, and traces into clear, actionable insight for complex distributed environments. Familiarity with GPU and fabric telemetry (e.g., DCGM, NVLink, InfiniBand/Ethernet fabric counters) and using it to diagnose performance regressions. Strong communication skills and the ability to work effectively with cross-functional teams. Ways to Stand Out From the Crowd: Experience with AI factory or large-scale AI infrastructure build, deployment, or operations. Background in HPC systems engineering, SRE, or systems analysis for GPU-accelerated environments. Experience building automation and data pipelines that feed dashboards and reporting at scale. Demonstrated desire to use AI to solve practical problems, improve workflows, and guide data-driven decisions. NVIDIA is widely considered one of the technology world’s most desirable employers. Some of the world's most forward-thinking and hardworking people are working for us. If you're creative and autonomous, we want to hear from you. #BuildTheAIFactory Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA is looking for a Senior Solutions Architect Academic that excels in bringing the latest NVIDIA products from research labs to fully operational AI Factories. Commercial and government groups around the world. Be part of the group using NVIDIA products to redefine deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic, customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI/HPC projects. These efforts include a combination of networking, system design and automation and validation. What you will be doing: Primary responsibilities will include deploying, managing, and validating AI/HPC infrastructure in Linux-based environments for first of kind NVIDIA hardware. Be the domain authority with NVIDIA design engineering teams and external customers during planning calls through implementation. Create and handover related documentation and perform knowledge transfers required to support customers as they roll out some of the most sophisticated systems in the world! Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: 6+ years providing in-depth support and deployment services; solving problems for hardware and software products. Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring). Experience in configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance (ibdiag, etc.) and UFM (Unified Fabric Manager.) Experience with benchmarking tools such as HPL, NCCL tests, MLPERF. Scripting proficiency (Bash, Python, Ansible, etc.) and Automation tooling background (Ansible, Puppet, etc.) Familiarity with schedulers such as SLURM, LSF, UGE, etc. Kubernetes experience. Excellent interpersonal communication skills and the ability to deliver resolutions for customer issues as they arise. Strong self-organizational skills and ability to prioritize/multi-task easily with limited supervision. A willingness to travel to customer sites within the United States. Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering, or equivalent experience. Ways to stand out from crowd: Cluster management technologies knowledge (bonus credit for BCM (Base Command Manager).) Experience with GPU (Graphics Processing Unit) focused hardware/software. Experience with MPI (Message Passing Interface.) Storage technologies such as Lustre or GPFS. Familiarity with Dell and Supermicro GPU platforms. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! #BuildTheAIFactory Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA is seeking a highly experienced and passionate Senior Software Engineer to join a team building large-scale machine learning solutions, including Graph Neural Networks, Tabular Foundation Models, and ensemble models. This role is critical to accelerating PyTorch-based frameworks and supporting user-facing tools that power NVIDIA’s cutting-edge data science solutions. The team works at the intersection of high-performance computing, GPU acceleration, machine learning infrastructure, and customer-facing software. This is an opportunity to shape efficient training and inference workflows for advanced machine learning models running on NVIDIA GPU infrastructure. If you are passionate about building high-performance software and enabling customers to solve complex data science problems at scale, we would love to hear from you. NVIDIA teams work on some of the world’s most ambitious computing problems, helping organizations adopt AI technologies that enable faster, smarter decisions. What you’ll be doing Develop accelerated, PyTorch-based solutions for large-scale machine learning models, including GNNs, TFMs, and ensemble models, with a focus on efficient training and inference on GPU infrastructure Support CUDA-X Libraries and integrations used in PyTorch-based, large-scale machine learning workflows Partner with developers, product managers, and scientists to develop innovative GNN models and GPU-accelerated implementations for model development and prediction phases Develop solutions that help customers adopt NVIDIA hardware and software, and gather technical requirements directly from customers and Solutions Architects to guide product and engineering priorities Provide technical leadership and mentorship to engineers across the team Identify opportunities to improve the codebase and reduce code-maintenance overhead through re-architecture Apply agentic coding tools to identify and fix bugs, implement new features, and refactor code Solve complex technical issues, explain solutions clearly, exercise technical leadership, and coordinate across multiple teams to achieve shared objectives What we need to see: Bachelor’s degree (or equivalent experience) plus 5 or more years of relevant experience in large-scale machine learning, deep learning, and general data science; or a Master’s degree or PhD plus 3 or more years of relevant experience 3 or more years of experience with PyTorch 2 or more years of experience training enterprise-scale machine learning models across distributed infrastructure 2 or more years of experience designing and operating efficient training and inference workflows on GPU infrastructure, including profiling, scaling, orchestration, and resource utilization Excellent C++ programming and software design skills Proven experience developing, debugging, and optimizing high-performance applications, preferably with GPU acceleration using CUDA Strong collaboration, communication, and documentation habits Ways to stand out from the crowd: Experience developing or deploying Graph Neural Network solutions using PyTorch Geometric, or a similar framework Experience working with data warehouse and lakehouse platforms, such as Snowflake or Databricks Experience in two or more of the following domains: finance, cybersecurity, government or national laboratories, and retail Strong understanding of system architecture, CPU, GPU, memory, and storage systems, as well as performance optimization Experience with customer engagement and technical support, particularly for data science workflows and with vector search and storage solutions, such as FAISS or Milvus NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. If you are creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA is hiring a Senior Software Engineer to work on improving the data ingestion platform in our Autonomous Vehicles division! As a Data Ingestion engineer for Autonomous Vehicles Infrastructure, you will play a crucial role in managing and optimizing the flow of data from various sources into our AV systems. Your primary focus will be on ensuring the seamless ingestion and efficient serving of AV data to support critical operations. What you'll be doing: Implement and maintain data ingestion pipelines from diverse sources, ensuring a continuous and reliable flow of AV data into the system. Design and optimize data serving mechanisms to deliver AV data to different teams and applications in real-time and batch processing scenarios. Monitor data pipelines and services to proactively identify and resolve any issues, ensuring data availability and reliability. Collaborate with cross-functional teams to improve data processing efficiency, reduce latency, and enhance overall system performance. Implement validation and data quality checks to ensure the integrity and accuracy of ingested data. Scale data infrastructure to handle the ever-increasing volumes of AV data generated by our expanding fleet of vehicles. Create and maintain detailed documentation for data ingestion and serving processes, ensuring knowledge sharing across the team. Work closely with the AV development team to understand data requirements and contribute to the enhancement of data-driven solutions. What we need to see: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of relevant experience working on autonomous vehicles and/or software infrastructure. Extensive expertise in developing distributed systems. Proven experience in designing and building data ingestion pipelines for large-scale systems. Strong proficiency in data warehousing concepts, data modeling, and database management systems. Proficient in Go, C++ and have experience with scripting languages such as Python or Matlab in a Linux environment Familiarity with distributed computing frameworks like Apache Spark or Hadoop. Hands-on experience with data streaming technologies (e.g., Kafka, RabbitMQ) is a plus. Knowledge of cloud-based platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.