2 Locations Jobs

NVIDIAHQI 89

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for traffic signal understanding — including traffic lights, traffic signs, road markings, construction objects, and other traffic signals critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime. What You’ll Be Doing: Designing end2end solutions for Perception and AV stack to enable traffic signal detections across various driving environments from complex intersections to rural roads to highways. Applied research and development of innovative deep learning models for traffic light detection, traffic sign recognition, road marking detection, construction object detection, text recognition, and other traffic signal tasks. Develop generalizable approaches to support diverse ODDs and Country/region expansion Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized Leverage data simulation and augmentation for solving extreme scenarios Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness. What We Need to See: Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus. Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch). Experience in data-driven development and collaboration with data and ground truth teams. Strong programming skills in python and/or C++. Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other. Ways to Stand Out from the Crowd: Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras. Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications. Proven expertise in deep learning backed up by technical publications in leading conferences/journals. Expertise with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques. Experience in working on complex object detection and recognition problems is a big plus. Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it possible for self-driving cars to learn, perceive, and reason about the world. NVIDIA GPUs power the algorithms that enable both traffic element understanding and scalable perception across global road systems. Join us and help define the future of reliable, data-driven autonomous driving. #AutonomousVehicles 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 October 14, 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 Senior QA Automation Engineer who is passionate about networking and eager to dive into hands-on testing. Our team ensures the quality of NVIDIA’s network solutions through feature analysis, manual, and Python-based automated testing. 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 proactive, open to learning new things, and ready to grow, we want you on our team! What you'll be doing: Simulate and test full-scale network architectures using multiple network operating systems via WebUI, back-end, CLI, and shell. Validate that simulation configurations and features align with real-world physical setups. Review architectural designs and requirements for new product features. Design and implement end-to-end tests for new features, including SW GA and maintenance releases. Report and document bugs, assist in reproducing and debugging issues, verify R&D bug fixes, and raise unresolved issues. Perform various system tests (regression, performance, functional, security, etc.). Design, implement, and maintain automated tests and framework APIs in Python. What we need to see: Practical / BA or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering. 5+ years of hands-on experience in QA and/or Networking. Solid networking knowledge and hands-on experience with switching and routing. Strong automation/scripting skills in Python and Linux Bash. Proficiency in Python OOP and experience writing automation for WebUI, SDK, and API using pytest and Playwright . Ability to handle multiple tasks, prioritize effectively, and execute responsibilities independently. Dedicated, able to work independently, and take ownership of tasks. Confident and effective verbal and written communication skills in English. Ways to stand out from the crowd: Strong CCNA and/or ISTQB, or similar certifications. Sophisticated experience with Python automation and source control tools (Git/SVN). In-depth Linux and Linux kernel knowledge (LPIC-2 level). Experience with virtualization environments (Linux KVM, VMware, ESXi). NVIDIA is committed to fostering a diverse work environment and is 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) based on 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 at the forefront of the generative AI revolution! The Algorithmic Model Optimization Team specifically focuses on optimizing generative AI models such as large language models (LLM) and diffusion models for maximal inference efficiency using techniques ranging from neural architecture search and pruning to sparsity, quantization, and automated deployment strategies. Our work includes conducting applied research to improve model efficiency as well as developing an innovative software platform (TRT Model Optimizer). Our software is used both internally across NVIDIA and externally by research and engineering teams alike developing best-in-class AI models. We are now looking for a Senior Deep Learning Software Engineer to develop and scale up our automated inference and deployment solution. As part of the team, you will be instrumental in pushing the limits of inference efficiency and large-scale, automated deployment. Your work will touch upon fundamental aspects of a typical machine learning stack including working in high-level frameworks like PyTorch and HuggingFace to developing and improving high-performance kernel implementations in CUDA, TRT-LLM, and Triton. This is an exceptional opportunity for passionate software engineers straddling the boundaries of research and engineering, with a strong background in both machine learning fundamentals and software architecture & engineering. What you’ll be doing: Train, develop, and deploy state-of-the generative AI models like LLMs and diffusion models using NVIDIA's AI software stack. Leverage and build upon the torch 2.0 ecosystem (TorchDynamo, torch.export, torch.compile, etc...) to analyze and extract standardized model graph representation from arbitrary torch models for our automated deployment solution. Develop high-performance optimization techniques for inference, such as automated model sharding techniques (e.g. tensor parallelism, sequence parallelism), efficient attention kernels with kv-caching, and more. Collaborate with teams across NVIDIA to use performant kernel implementations within our automated deployment solution. Analyze and profile GPU kernel-level performance to identify hardware and software optimization opportunities. Continuously innovate on the inference performance to ensure NVIDIA's inference software solutions (TRT, TRT-LLM, TRT Model Optimizer) can maintain and increase its leadership in the market. Play a pivotal role in architecting and designing a modular and scalable software platform to provide an excellent user experience with broad model support and optimization techniques to increase adoption. What we need to see: Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field. 8+ years of relevant work or research experience in Deep Learning. Excellent software design skills, including debugging, performance analysis, and test design. Strong proficiency in Python, PyTorch, and related ML tools (e.g. HuggingFace). Strong algorithms and programming fundamentals. Good written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment. Ways to stand out from the crowd: Contributions to PyTorch, JAX, or other Machine Learning Frameworks. Knowledge of GPU architecture and compilation stack, and capability of understanding and debugging end-to-end performance. Familiarity with NVIDIA's deep learning SDKs such as TensorRT. Prior experience in writing high-performance GPU kernels for machine learning workloads in frameworks such as CUDA, CUTLASS, or Triton. Increasingly known as “the AI computing company” and widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Are you creative, motivated, and love a challenge? If so, we want to hear from you! Come, join our model optimization group, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly-growing field. 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 October 13, 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

For more than 25 years, NVIDIA has driven innovation in computer graphics, PC gaming, and accelerated computing. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re harnessing the boundless possibilities of AI to build 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. DSX OS is NVIDIA's open source foundation for AI infrastructure. It is a growing portfolio of engineering teams building in the open. Every project in that portfolio needs to meet a shared bar for open-source readiness: code hygiene, governance, community health. Today, that's measured by hand, project by project. This role owns an internal product that changes that to a platform that scores, tracks, and reports on readiness across the DSX OS portfolio, and the roadmap that takes it from an internal utility to the definition of what "open source ready" means for DSX OS. What you'll be doing: Lead the platform as production infrastructure. Maintain, harden, and evolve it from a measurement tool into the system every DSX OS project runs on — reliability and data quality matter because everything else in the program depends on it. Automate scoring. Replace manual review-fix-recheck loops with tooling, so the portfolio scales through automation instead of added effort. Self-serve integration. Build scoring into onboarding and workshop experiences. This lets participants get real-time feedback on their own project instead of waiting for manual review. It increases how many teams a single event can support. Engineering team feedback loop. Work directly with the project teams using the platform, capture friction signals, and feed them back into the product instead of letting issues pile up in a backlog. Readiness tracking and reporting. Automate the generation and tracking of per-project readiness plans so status, blockers, and progress are transparent to leadership without manual assembly. What we need to see: 8+ years of relevant experience and a bachelors degree (or equivalent experience) Experience leading a software product or internal platform end-to-end and making the calls on what gets built, why, and in what order Strong software engineering skills, with a track record of turning manual, error-prone processes into reliable automation Hands-on experience with agentic coding tools (e.g., Claude Code, Copilot, Cursor) as part of your actual engineering workflow, not just casual use Experience running a production system in the real world — on-call, incident response, or otherwise owning uptime and reliability for something people depend on daily Experience building reporting or dashboards that a non-engineering audience (leadership, partners) can trust as a source of truth Ownership mentality for production systems — system dependability and integrity of data fall under your responsibility, not someone else 's Ways to stand out from the crowd: Built or operated a rubric-based scoring or compliance system — quality gates, readiness checks, policy-as-code — where the output has to be defensible enough for people to act on it Experience using LLMs within an evaluation pipeline (LLM-as-judge, qualitative signal assessment at scale) rather than only deterministic pass/fail checks Designed a metric or signal taxonomy from scratch — deciding what to measure, how to weight it, and how to keep a single score relevant as the system it measures evolves Built a tool that abstracts over multiple backends or platforms (e.g., supporting both GitHub and GitLab) so it isn't locked to one provider's API Experience with GitOps-style automation — automated checks that run against every repo or PR or equivalent experience without a human in the loop 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 consider your future, explore what we can provide for you and your family at 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 - 270,250 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 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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products. Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. Take ownership and drive customer issues with Ethernet switch network deployments from inception to resolution. Bring independent analysis, communication, and problem-solving to customer experience. Collaborate with engineering to document, recreate and solve issues. What we need to see: BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). 8+ years of system software development and troubleshooting experience, ideally with some customer facing. Experience developing with Python, C/C++ in Linux application space and/or embedded software. Expertise in Linux networking stack, tools, utilities and services. Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF). Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented. Ways to stand out from the crowd: Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN). Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS). Experience with SRv6 technology, HPC, low-latency systems and performance tuning. Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird. Experience with AI coding tools, AI agents, etc. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

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 on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on NVIDIA Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. Solution Engineers may spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing R&D related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: Take ownership and drive customer issues with Ethernet or InfiniBand network adapters/DPUs/Switches deployments from inception to resolution. Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. Bring your experience to solve complex, cross-functional issues using your independent analysis, communication to improve customer experience. Collaborate with engineering to document, recreate and solve issues. What we need to see: BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). 12+ years of system development and troubleshooting, ideally with some customer facing. Experience developing/debugging with C in kernel and/or application space and/or embedded software. Strong understanding of Linux (tools, utilities, kernel, networking stack) and virtualization. Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team orientation. Professional-level communication skills, interpersonal skills with a passion to solve problems. Ways to stand out from the crowd: Familiarity with InfiniBand networks, RDMA protocol, RoCE, DPUs, DPDK, HPC applications (MPI/UCX), OVS Hands-on experience in troubleshooting and analysis of the common datacenter networking protocols/technologies (e.g.: LACP, OSPF, BGP, EVPN, VXLAN), manageability interfaces and protocols Proven ability to deeply analyze IP / Layer 2 switching / Layer 3 routing networking protocols . Contributions to networking related open-source projects. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

NVIDIA is hiring experienced software engineers with Kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with Kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about Kubernetes and GPUs, and love having fun, please apply today! For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. What you will be doing: You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on Kubernetes. Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry. Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process. What we need to see: Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with Kubernetes APIs and frameworks not just operating a cluster. Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies. 5+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques. You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience. Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms. Ways to stand out from the crowd: Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager) Proven operational excellence in maintaining reliable and performant AI infrastructure. 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 on the planet working for 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 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.

IntelHQI 91

Job Details: Job Description: Organization Overview: Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical gap between Technology Development (TD) and High-Volume Manufacturing (HVM), advancing technology nodes and process capability from initial product qualification to high-yield production across multiple products while enhancing technologies for our foundry customers. About This Role: Join Intel's Manufacturing Development and Customer Engineering (MDCE) team as a senior technical leader driving process innovation across Intel's most advanced semiconductor technologies in volume manufacturing. You will spearhead the development, optimization, and manufacturability of critical thin film deposition processes, ensuring seamless transitions from early development to high-volume production while meeting Intel foundry customer requirements. Your Mission: Lead thin film process excellence across CVD, ALD, PVD, epitaxy, thermal/plasma deposition, furnace, implant, anneal, and/or treatment technologies. Operating at the nexus of Technology Development and High-Volume Manufacturing, you will drive breakthrough solutions for Intel 18A, Intel 3, 12nm, and next-generation technology nodes. Key Responsibilities Process Innovation and Excellence Champion safety, quality, yield, throughput, and cost optimization across thin film deposition modules Drive defectivity reduction and uniformity improvements through systematic process enhancement Lead technical problem resolution and deliver solutions that meet aggressive technology node targets Optimize equipment performance working with internal teams and key suppliers Strategic Technical Leadership Align technical vision with customer requirements and business objectives Synthesize complex technical data to formulate and execute strategic responses Own end-to-end resolution of manufacturing challenges spanning multiple engineering disciplines Deliver rapid execution of innovative solutions to meet challenging development timelines Cross-Functional Partnership Collaborate closely with Technology Development, High Volume Manufacturing, and Business Groups Build strong relationships with Integration, Device, Yield, Quality, Reliability teams, and external suppliers Present technical findings effectively to diverse audiences from engineering teams to executive leadership Foster in-person collaboration to accelerate decision-making and problem resolution Industry Leadership Stay current with semiconductor industry trends and emerging process technologies Drive strategic initiatives that position Intel at the forefront of manufacturing innovation Contribute to technology roadmaps through hands-on technical expertise and market insight What We're Looking For Technical Excellence Results-driven professional with exceptional technical problem-solving abilities Proven track record of significant accomplishments across multiple technology nodes Strong analytical skills with expertise in yield improvement, performance enhancement, and variation reduction Deep understanding of semiconductor manufacturing strategies, fab operations, and technology transfer Leadership Capabilities Outstanding communication skills for presenting complex technical information to varied audiences Self-motivated with strong initiative and ability to navigate ambiguous technical challenges Demonstrated ability to manage multiple high-priority projects under pressure while maintaining quality focus Experience driving clarity in complex technical situations and leading cross-functional initiatives Industry Expertise Comprehensive knowledge of process development, materials science, and device physics Ability to interpret industry trends and translate market dynamics into actionable technical strategies Experience with foundry business models and customer engagement requirements Proven capability to work independently while managing diverse technical assignments Qualifications: The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through industry-related job experience. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications Master's degree in Electrical, Mechanical, Chemical Engineering, Materials Science, or in a STEM related field 5+ years semiconductor industry experience with strong focus on thin film deposition processes Proven experience in process development, technical leadership, and manufacturing engineering Experience working with equipment suppliers (AMAT, LAM, ASM, TEL) on process optimization Fab startup experience across manufacturing, quality, R and D, and supply chain functions Experience with Statistical Process Control (SPC), Design of Experiments (DOE), and factory automation systems Preferred Qualifications Ph.D. in Electrical/ Mechanical or Chemical Engineering, Materials Science, or in a STEM related field with research publications and patent portfolio in thin film technologies Experience in Gate All Around (GAA) logic technologies within semiconductor foundry environments Experience delivering customized solutions across Technology Development and HVM organizations Cross-functional leadership experience managing diverse stakeholder groups Semiconductor foundry experience Why This Role Matters: This high-visibility position directly impacts Intel's foundry competitiveness and customer success. You will work on industry-defining technologies while building expertise that positions you as a leader in advanced semiconductor manufacturing. Work Environment: This role emphasizes collaborative, in-person work to enable rapid innovation cycles and real-time problem resolution in Intel's state-of-the-art manufacturing facilities. Ready to Shape the Future? Join Intel's mission to push the boundaries of semiconductor manufacturing technology. Your expertise will directly influence the next generation of computing innovations and manufacturing excellence. Apply today to become part of our world-class MDCE team and help define the future of semiconductor technology. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix 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: $155,520.00-298,440.00 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 is searching for an outstanding PhD intern working on efficient deep learning to join the Deep Learning Efficiency Research (DLER) team. We are passionate about research that pushes boundaries but also has impact in the real world. The team has two core focuses: (1) efficient diffusion language models and multimodal generative models, and (2) efficient agentic AI with hybrid inference orchestration across cloud and edge. We are also excited about post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, and resource-efficient training and finetuning. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, diffusion LLMs, multimodal models, and hybrid cloud–edge agentic systems. Your contributions have the chance to create real impact on our products. What you'll be doing: Research, design, and implement novel methods for efficient deep learning in one or both of the team’s focus areas: Diffusion LLMs and multimodal models — sampling efficiency, adaptive unmasking, self-speculation / parallel decoding, training and distillation pipelines, and multimodal generation. Efficient agentic AI — hybrid inference orchestration across cloud and edge, routing and scheduling policies, on-device vs. cloud expert delegation, and resource-aware agent loops. Publish original research. Collaborate with other team members and teams. Work with product groups to transfer technology. Collaborate with external researchers. What we need to see: Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc. Excellent knowledge of theory and practice of machine learning and deep learning. Experience with large language models, diffusion language models, multimodal / vision-language models, or agentic systems is required. Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required. Outstanding research track record with at least one top-tier conference (ICML, ICLR, NeurIPS, CVPR, ICCV, etc.). Excellent communication skills. Ways to stand out from the crowd: Parallel programming (e.g., CUDA). Interest or experience in hybrid cloud–edge inference, orchestration, or adaptive routing. Background in pruning, quantization, NAS, or efficient backbones. NVIDIA is widely considered to be one of the technology world’s most desirable employers with competitive salaries and a generous benefits package, we have some of the most forward-thinking and hardworking people in the world working for us. And, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD. You will also be eligible for Intern 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 is in a unique position: we are developing AI-based products across multiple domains, and we collaborate with many interesting AI companies as partners and customers. Ensuring the highest Content Safety possible reduces exposure to inappropriate material. Preventing Bias and Discrimination is essential to both protect individual rights and achieve the best quality of results, including accuracy and completeness of information. By prioritizing safety and fairness, we can ensure that LLMs benefit everyone and contribute to a better future for all. Our team also works in the area of safety for generative models for language, robustness, and explainability. Our LLMs are a growing area of AI products, including models and services, and we are committed to ensuring that they are used safely and responsibly. We are looking for a talented Machine Learning Engineer to work on Product Security, Content Safety, ML Fairness and Robustness efforts for LLMs across all of our research and production engineering teams. In this role, you’ll have the opportunity to take on innovative problems in machine learning, particularly focused on safety for multi-modal LLMs. This role is directed at assessing, quantifying, and improving the safety and inclusivity of our LLM models in a scalable fashion. What you'll be doing: Develop the datasets and models for training and evaluating models and end-to-end systems for Content Safety, ProdSec, Robustness and ML Fairness. Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems using LLMs like RAGs. Define and track key metrics for responsible LLM behavior and usage. Follow the best MLOps practices of automation, monitoring, scale and safety. Contribute to the MLOps platform and develop safety tools to help ML teams be more effective. Collaborate with other engineers, data scientists, and researchers to develop and implement solutions to content safety and ML fairness challenges. What we need to see: Master’s or PhD in Computer Science, Electrical Engineering or related field - or equivalent experience. Minimum of 2+ years of work experience in developing and deploying machine learning models in production. Strong understanding of machine learning principles and algorithms. Hands-on programming experience in python and in-depth knowledge of machine learning frameworks, like Keras or PyTorch. Background in one or more of the following broader areas for 1+ years: Content Safety, ML Fairness, Robustness, AI Model Security, or related areas. Experience working in a range of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application. Practice working with large multi-modal datasets and multi-modal models. Good at problem-solving and analytical ability. Excellent collaboration and communication skills. Demonstrates behaviors that build trust: humility, transparency, respect, and intellectual honesty. Ways to stand out from the crowd: Skilled with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (vision-language models) or any-to-text Proven experience with multimodal and/or multilingual content safety, legal, and regulatory compliance. Knowledge of robustness, including hallucinations, digressions, and generative misinformation. Experience with GenAI security, including prompt stability, model extraction, confidentiality/data extraction, integrity, availability, and adversarial robustness. Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research, and publication experience. With highly competitive salaries and a comprehensive benefits package, Nvidia is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Large Language Models. If you're a creative engineer with a real passion for robust and enjoyable user experiences, 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. 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

NVIDIA is the engine of modern artificial intelligence and Generative AI, the biggest technology breakthrough of our time. We're on a mission to make AI accessible to all, and we're seeking a passionate Senior Platform Engineer to join our cause. As part of our team, you'll dive deep into NVIDIA's Enterprise Products ecosystem, mastering NVIDIA's CPUs, GPUs, networking, and how to put it all together to build something incredible. Your expertise will be crucial in engineering solutions with server OEM, cloud, and storage partners, ensuring NVIDIA is seamlessly integrated to optimize AI solutions. This role is a unique blend of infrastructure architecture, systems engineering, and product design for the enterprise. You'll be crafting proof-of-concepts with partners that showcase a joint vision. Additionally, you'll collaborate closely with our product managers and engineering leaders to continuously enhance NVIDIA's Enterprise Platform offerings. Working at NVIDIA is all about efficiency and multiplying efforts; being a Platform Architect is at the nexus of this ethos. What you’ll be doing: Architecting collaborative solutions with cutting edge purpose-built AI server, networking, and storage solutions Immersing yourself in NVIDIA Enterprise Platforms: CPUs, GPUs, and everything in between Developing proof-of-concepts with partners that demonstrate the joint vision Running virtual product reviews and setting the standard for benchmarking new solutions Jumping in to solve issues as partners integrate with NVIDIA Enterprise Platforms Working closely with NVIDIA product managers and engineering leads to refine and expand NVIDIA Enterprise Platforms Customer zero: we build the best and we build it first What we need to see: 12+ years working as a Systems Architect, DevOps Engineer, Platform Engineer, or similar technical IT systems architectural experience Bachelor's degree or equivalent experience Demonstrated expertise in systems and networking architecture A proven track record of collaborating on technical projects with cross-functional teams Strong problem-solving skills with the ability to craft innovative solutions Effective communication abilities and adept at translating complex technical details to diverse audiences A passion for staying updated with the latest technological advancements in AI and related fields Ways to stand out from the crowd: Advanced certifications or publications in AI, virtualization, cloud services, or related fields Experience leading high-impact projects or initiatives in innovative tech domains Proactive contributions to open-source projects or active involvement in tech communities Proven ability to mentor and uplift junior team members or peers Unique problem-solving experience where non-traditional thinking led to breakthrough solutions. 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! 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 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.

IntelHQI 91

Job Details: Job Description: Shape the Future of Semiconductor Manufacturing at Intel Join Intel's newest and most innovative organization—Manufacturing Development Customer Engineering (MDCE)—where you'll bridge the critical gap between breakthrough technology development and high-volume manufacturing. As a Senior Wet Etch Manufacturing Development Engineer, you'll be at the forefront of advancing next-generation semiconductor technologies that power the world's most sophisticated devices. Organization Impact MDCE represents Intel's strategic evolution within Intel Foundry Technology Manufacturing (FTM). We're the vital link that transforms cutting-edge research into manufacturable reality, advancing technology nodes from initial qualification to high-yield production while delivering enhanced solutions for foundry customers worldwide. Your Role in Technology Leadership Drive technology innovation that defines Intel's future roadmap while enabling advanced manufacturing processes that set industry standards. You'll develop next-generation device architectures, support high-volume production scaling, and collaborate with world-class suppliers to deliver breakthrough solutions that maintain Intel's semiconductor leadership. Direct Impact Your innovations will power billions of devices globally, ensuring Intel's continued dominance in delivering world-class silicon solutions that push the boundaries of what's technologically possible. Core Responsibilities Advanced Process Development Lead design, development, and optimization of sophisticated manufacturing processes Drive parameter optimization, material selection, and system design to exceed functional requirements Conduct feasibility studies using theoretical simulations and practical engineering methodologies Enable innovative device architectures that define next-generation semiconductor capabilities Strategic Technology Leadership Develop comprehensive technology roadmaps for future manufacturing processes Identify and pursue opportunities to advance Intel's process capabilities Conduct pathfinding activities aligned with industry trends and customer requirements Integrate emerging technologies into Intel's manufacturing ecosystem Manufacturing Excellence Implement equipment modifications to enhance production efficiency and reduce defects Drive complex problem-solving initiatives for defect reduction and yield improvement Collaborate with internal stakeholders and external suppliers on critical enabling technologies Ensure seamless integration across etch, deposition, CMP, and lithography modules Innovation & Continuous Improvement Stay current with industrial trends and breakthrough technologies Apply disciplined execution and data-driven problem-solving methods Lead root-cause analysis using structured approaches and advanced analytics Drive solutions from concept through factory implementation Operational Excellence Ability to thrive in fast-paced, dynamic environments Commitment to maintaining highest standards of safety, quality, and compliance Experience with advanced foundry customer requirements and specifications Qualifications: The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications Bachelor's degree in Chemical Engineering, Chemistry, Electrical Engineering, Materials Science, Physics, Mechanical Engineering, or in a STEM related field 7+ years of semiconductor manufacturing, process development, or technology development experience 1+ years of experience in Design of Experiments (DOE) and statistical process control 2+ years of experience in root-cause analysis capabilities using structured problem-solving and data analytics. 2+ years of experience with module integration and interactions across semiconductor processes including; etch, deposition, CMP, or lithography. Experience in process optimization, defect reduction, and manufacturing improvements Hands-on experience with advanced manufacturing processes (e.g. etching, material science, and/or equipment metrology) Preferred Qualifications Post Graduate degree in Chemical Engineering, Chemistry, Electrical Engineering, Materials Science, Physics, Mechanical Engineering, or in a STEM related field Experience with cutting-edge technology nodes (sub-10nm logic or leading-edge foundry nodes) Proven track record collaborating with equipment and materials suppliers Cross-functional leadership experience leading task forces for yield improvements and technology ramp History of mentoring junior engineers and serving as technical focal point Strong ownership mindset with ability to drive initiatives from concept to factory deployment Why This Role Defines Your Career Innovation Leadership: Drive breakthrough technologies that set industry standards Global Impact: Your work powers devices used by billions worldwide Cutting-Edge Technology: Work with the most advanced semiconductor processes Elite Collaboration: Partner with world-class suppliers and internal experts Career Growth: Lead initiatives that directly impact Intel's strategic roadmap Mission-Critical: Bridge the gap between research breakthroughs and manufacturing reality The MDCE Advantage Join Intel's most dynamic organization where innovation meets manufacturing excellence. MDCE offers unparalleled opportunities to shape the future of semiconductor technology while working with the industry's most advanced processes and brightest minds. Ready to define the next generation of semiconductor manufacturing? At MDCE, your expertise doesn't just advance technology… it transforms entire industries. Join us in building the foundation for tomorrow's technological breakthroughs Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix 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: $155,520.00-298,440.00 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

We are looking for a Senior Software Engineer to design and build tools, pipelines, and AI-enabled systems for complex creative production workflows. You will connect AI models with DCC applications, APIs, internal services, and production infrastructure to support artists, technical artists, designers, and engineers. A central part of the role is building reliable, multi-step agentic workflows that coordinate tools, maintain state, and recover from failures. You will combine hands-on development with technical leadership to deliver production-quality software, usable artist-facing tools, and maintainable content pipelines. What you’ll be doing: Own tools and pipeline systems from workflow discovery and architecture through implementation, rollout, maintenance, and production support! Build agentic workflows that coordinate models, tools, APIs, and services, with context management, state tracking, validation, retries, and failure recovery. Develop AI-enabled engineering tools for coding, testing, debugging, codebase analysis, code review, and workflow automation. Create DCC integrations, plugins, panels, desktop applications, and services that address the needs of artists and technical artists. Build and maintain content pipelines covering authoring, validation, publishing, versioning, asset management, and delivery to rendering or real-time systems. Design software architecture, APIs, and data contracts that support maintainability, performance, and integration across production systems. Establish automated testing, agent evaluations, tracing, monitoring, and appropriate access controls to ensure reliable and observable operation. Manage packaging, dependencies, compatibility, and releases across supported applications and production environments. Partner with users to prioritize improvements, lead technical reviews, mentor engineers, and document systems to support adoption and ongoing maintenance. What we need to see: Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience! 8+ years of relevant software engineering experience developing production tools, content pipelines, or comparable workflow systems. 2+ years of technical leadership experience, including leading engineering projects, guiding architectural decisions, mentoring engineers, and coordinating delivery. Strong Python skills and experience with software architecture, API design, automated testing, debugging, and maintainable code. Background with integrating with DCC applications and supporting content workflows from authoring through validation, publishing, and downstream delivery. Experience building multi-step AI workflows that invoke tools or APIs and interact with existing software systems, including state management, evaluation, and failure handling. Experience developing usable tools for artists or other specialist users and translating workflow needs into engineering requirements. Experience with version control, code review, release management, and support for production-critical software. Ability to diagnose issues across applications, services, and data, communicate technical tradeoffs, and collaborate across engineering and creative teams. Ways to stand out from the crowd: Experience developing desktop or embedded interfaces with PySide/Qt or similar frameworks. Proficiency in C++, Java, or other languages used for application integrations and production services. Experience with asset management, production tracking, Git, Perforce, and content dependency management. Familiarity with Unreal Engine, Unity, proprietary engines, graphics, rendering systems, or shader development. Experience with LLM APIs, tool calling, structured outputs, retrieval and context systems, and agent evaluation or observability. 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 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.

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 DSX brings together facilities infrastructure, hardware, software, simulation, and partner technologies to build and run efficient AI factories. We are looking for a Senior Technical Marketing Engineer to show and educate our AI factory ecosystem how to bring up and operate the entire stack, ranging from facilities and multi-node GPU infrastructure to provisioning, networking, storage, cluster orchestration, security, observability, and workload enablement. What you'll be doing: Stand up and validate complete DSX-aligned software stacks on multi-node GPU systems. Capture the dependencies, configuration order, validation steps, and operational handoffs as you go. Turn working deployments into useful technical content: reference architectures, quick-starts, installation and upgrade guides, troubleshooting runbooks, code examples, blogs, whitepapers, and demo videos. Build reusable examples and automation with APIs, Python or shell scripting, infrastructure-as-code, containers, Kubernetes, Slurm, Helm, GitOps or equivalent experience, and CI/CD where they fit. Build demos, labs, and training that address the practical aspects of operating an AI factory, from initial deployment and tenant setup to upgrades, monitoring, scheduling, fault isolation, remediation, capacity management, and security. Show how the layers of the stack fit together. Work with TME, Product, Engineering, and Marketing to demonstrate how data center hardware, infrastructure and cluster management software, orchestration, AI platforms, and the workloads on top operate as one system. Test pre-release software using representative training and inference workloads. Identify rough edges, assess interoperability and resiliency, and provide Product and Engineering with clear feedback before customers face similar issues. Help solution architects, field teams, cloud and OEM partners, ISVs, and system integrators use the stack successfully through repeatable assets, train-the-trainer sessions, live demos, and direct support on important engagements. Collaborate with open-source and cloud-native communities to demonstrate practical integration approaches, address documentation and usability shortcomings, and assist partners in expanding and developing the DSX software stack. Listen for recurring problems from customers, partners, the field, and developers. Use those signals to set content priorities and recommend product improvements, then track whether the work reduces deployment time and improves operational success. Present your work in customer briefings, partner workshops, industry events, webinars, and internal training. Some travel will be required. What we need to see: BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or another technical field, or equivalent experience. 8+ years of experience in infrastructure engineering, systems engineering, solutions architecture, software engineering, technical marketing engineering, site reliability engineering, or a related role. Hands-on experience deploying and operating Linux-based data center, cloud, HPC, or AI infrastructure, including multi-node GPU systems and production operational practices. Strong working knowledge of Kubernetes and/or Slurm, including containers, operators, Helm charts, cluster lifecycle, and workload scheduling. Experience in several core infrastructure domains, such as bare-metal provisioning, firmware and drivers, compute, Ethernet or InfiniBand networking, storage, identity, multi-tenancy, secrets or certificate management, telemetry, observability, and fleet health. Ability to automate deployments and operations through scripting, APIs, configuration management, infrastructure-as-code, Git-based workflows, and CI/CD. Examples of technical work for practitioner audiences, such as deployment guides, documentation, reference architectures, code repositories, demos, workshops, blog posts, conference talks, or training. Links to example contributions are greatly appreciated. Excellent written, verbal, and visual communication skills. You can explain a complex system and defend a technical recommendation to both business and technical partners. Ability to balance multiple projects and constituents, prioritize under tight deadlines, and work well across Engineering, Product, Field, Marketing, and partner teams. Ways to stand out from the crowd: Experience with NVIDIA DSX, DGX systems, DGX Cloud, NVIDIA AI Enterprise, BlueField DPUs, DOCA, or related NVIDIA infrastructure software. Experience operating large GPU clusters and diagnosing distributed performance, networking, storage, scheduling, or hardware-health issues. Experience with AI training and inference workloads and the requirements for operating them dependably on accelerated infrastructure. Experience connecting infrastructure software to facilities or operational technology systems, including power, cooling, building management systems. Active participation in cloud-native, HPC, infrastructure automation, or open-source communities, including published examples or project contributions. NVIDIA is widely considered one of the technology world's most desirable employers. If you are creative, technically curious, and autonomous, we want to hear from you! 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/ #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 160,000 USD - 253,000 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 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.

NVIDIAHQI 89

NVIDIA is transforming mobility through accelerated computing, AI, and software-defined vehicle platforms. Our automotive technology enables leading manufacturers to develop and deploy safe, intelligent driving experiences at scale. As a Senior System Software Integration Engineer on our ADAS Platform Integration team, you will play a key role in bringing NVIDIA’s automotive platform into production vehicles. You will operate at the intersection of embedded software, vehicle systems, validation infrastructure, and customer engineering. You will own complex integration topics from first reproduction through root-cause analysis, fix validation, and release readiness. Working directly with a leading automotive OEM, you will help align NVIDIA and customer engineering teams, resolve cross-stack issues, and ensure the platform performs reliably across simulation, lab, and in-vehicle environments. We expect the selected candidate to be based in Munich or Stuttgart, with flexibility for occasional travel to customer sites as business needs require. What You'll Be Doing: Integrate and optimize automotive system software, develop ADAS components and platform tooling, and deliver production-quality fixes across NVIDIA and partner codebases. Maintain automation pipelines for build, test, and release while resolving infrastructure and pipeline blockers. Triage and bisect regressions across staging release trains, SIL/HIL environments, vehicle test racks, and simulation platforms, resolving discrepancies between NVIDIA and OEM test results. Debug platform, OS-level, and performance issues on Linux and QNX, including boot failures, crashes, coredumps, CPU affinity, IPC contention, and logging overhead. Coordinate hardware bring-up and debugging on vehicle racks and HIL benches, including sensors, MCUs, SoCs, automotive networks and buses, and PTP synchronization. Own feature and system verticals end-to-end, including staging status, defect tracking, fix validation, in-vehicle testing, and post-drive log analysis. Develop, integrate, and validate partner-specific interface adaptations, from initial implementation through functional bring-up on target platforms. Serve as an ongoing technical point of contact for an OEM partner, supporting root-cause alignment, technical workshops, release planning, readiness reviews, and escalation management. What We Need to See: Bachelor's or Master's degree in an engineering discipline, with 5+ years of relevant experience in ADAS, automotive software, embedded systems, platform integration, or system validation within an OEM, Tier 1, or comparable environment. Strong Linux and QNX debugging skills, with proficiency in C/C++ and scripting languages such as Python and Bash. Solid understanding of RTOS, ADAS sensor sets, software integration, and AUTOSAR Adaptive and Classic, combined with hands-on hardware bring-up experience. Experience with CI/CD, version control, and Docker or other containerized environments. Familiarity with automotive protocols such as CAN, FlexRay, Ethernet, and PTP, as well as code-review and patch-based workflows such as Gerrit. Hands-on experience with vehicle production and after-sales topics, including coding, calibration, OTA updates, cybersecurity, diagnostics, and field-return investigations. Excellent communication skills and experience collaborating directly and frequently with OEM customers. Ability to independently drive ambiguous, cross-functional issues to resolution using a structured, evidence-based approach. Ways to Stand Out From the Crowd: Experience delivering a series-production ADAS or software-defined vehicle platform with an OEM or Tier 1 supplier. A track record of owning complex customer issues from initial escalation through root-cause analysis and validated resolution. Deep expertise in Linux or QNX internals, performance analysis, embedded networking, or system-level debugging. Experience with ADAS or autonomous-driving functions, NVIDIA automotive platforms, GPU-accelerated simulation, fleet validation, or large-scale test infrastructure. Valid EU driver's license; advanced vehicle-testing qualifications, such as T1/T2 or equivalent certification, are an advantage. If you're passionate about autonomous vehicles, we would love to hear from you! NVIDIA is committed to fostering a diverse 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 leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is now seeking a Strategic Sourcing Senior Manager to join our Global Corporate Indirect Procurement team, headquartered in Santa Clara, CA to support growth in NVIDIA’s Real Estate and Data Center portfolio. This position will lead procurement efforts and supplier relationships for Real Estate and Data Center Construction critical to the success of the company, focusing on delivering optimal solutions, driving cost savings and improving overall commercial terms. Responsibilities for this position include tenant improvement and ground-up construction for US and international construction sourcing projects. What you’ll be doing: Work with the key internal partners (Project Management, Legal, Finance and Engineering) to assess opportunities for and accomplish cost savings/improved contract terms. Support the objectives of the Real Estate and DC MEP Engineering & Construction teams to achieve the overall mission of Nvidia. For each spend category lead efforts to develop/be responsible for a category plan, perform market research to identify viable suppliers and establish a scalable supply base to support NVIDIA’s anticipated growth. Lead sourcing activities, including RFXs and negotiate construction-related contracts (e.g. general contractors, MEP design-build, engineering, architects, development managers and cost consultants). Implement sourcing process project management from start to end, including regular status updates to internal partners. Deliver results with a strong commitment to quality, ethics, and customer-focused delivery model. Identify areas for process/toolset improvement and develop/implement strategic plans to increase efficiency and productivity and supervise performance to ensure objectives are being met. What we need to see: Bachelor’s degree required or equivalent experience. 8+ years of strategic sourcing experience, with a proven track record of leading large-scale capital expenditure (CapEx) construction programs in a fast-paced environment. Proven ability to work effectively with various collaborators to meet demanding project schedules and lead negotiation teams for complex construction and development contracts. Expert in procurement for Real Estate Construction contracts, focusing on Design-Build and Cost + Fixed Fee % with GMP. Skilled negotiator able to achieve favorable contractual terms and market competitive commercial rates. Experience in qualifying and developing a supply base of qualified construction contractors in partnership with internal business partners. Business acumen to make informed decisions in an environment of incomplete data and quickly changing plans and priorities. Experience with project management and procurement tools (e.g. e-RFx, Contract Lifecycle Management) in the completion of sourcing projects. Excellent communication skills giving presentations to senior management. Experience in managing large-scale, complex construction procurement projects, preferably within a global organization or supporting multi-national collaborators. Ways to stand out from the crowd: Master’s or other advanced degree Expert contract negotiation skills Experience with Colo and CSP agreements is highly desirable. Detailed technical and supply base knowledge of latest rack cooling systems and MEP equipment for next generation data centers. Experience in providing construction procurement support for campus development. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us, and due to outstanding growth, our Finance teams are rapidly growing. If you're creative and autonomous with a real passion for technology, 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

Would you like to be a part of one of the most exciting companies in technology? NVIDIA is looking for a highly motivated Sales Manager to lead NALA Sales Development (SDS) coverage across multiple industries. You will manage Sales Development Specialists and own team quota attainment, daily coaching, performance management, and alignment with industry sales teams. This hands-on leader will join customer conversations, build industry-aligned outbound strategies, and help sellers create substantial pipeline while developing the skills and demonstrated readiness for future sales roles. Success requires delivering team sales results by translating industry priorities into effective campaigns, stronger customer discovery, and productive Account Manager and Solution Architect engagement. What you'll be doing: Lead daily coaching and performance management for a team of Sales Development Specialists across multiple NALA industries; own team quota attainment and set clear expectations for customer engagement, pipeline quality, and development. Coach through one-to-ones, call reviews, role plays, and joint customer meetings, with particular emphasis on discovery, Account Manager and Solution Architect engagement, and industry go-to-market alignment. Regularly join customer calls to understand the customers, use cases, and challenges sellers encounter; turn firsthand observations into practical coaching and enablement. Own industry alignment with Account Managers and Regional Industry Sales Leaders; coordinate with Solution Architects, Industry Business Development, Marketing, and Channel on account priorities, ownership, and follow-up. Translate industry priorities into targeted outbound account-development plans, sales plays, and campaigns; define intended customer outcomes, complete with industry partners, and use results to improve the approach. Prioritize relevant pipeline generation and opportunity progression; evaluate outreach and event activity against industry objectives and customer value, and stop work that does not support those outcomes. Own day-to-day account priorities, workload allocation, sales plays, routing exceptions, and performance actions; resolve industry execution issues and advance broader organizational dependencies to sales leadership. Partner with operations and enablement teams to automate routine inbound response and triage, preserve appropriate follow-up and exception handling, and focus seller capacity on industry-aligned outbound development. What we need to see: Bachelor's degree or equivalent experience. 12+ overall years of overall sales experience in enterprise technology, including sales development, account development, business development, or field sales. 5+ years of experience directly leading, coaching, and developing a sales, sales development, or account development team. Strong demonstrated coaching skills, including customer discovery, field-sales and technical-team engagement, direct observation, actionable feedback, and sustained improvement in seller capability. Experience managing performance and building individual development plans; ability to assess readiness for expanded responsibilities using demonstrated skills, judgment, and customer and business outcomes. A track record of delivering against team quota and sales goals by aligning sales development with industry priorities and implementing outbound campaigns that generate relevant opportunities. Experience collaborating with industry sales leaders, Account Managers, and Solution Architects, aligning partners without direct authority, and resolving day-to-day coverage and ownership issues. Ability to prioritize accounts, allocate workload, and distinguish productive account development from activity that does not advance customer or industry objectives. Ways to stand out from the crowd: A track record of developing sales development professionals into account management, business development, or other expanded sales roles through evidence-based coaching and readiness assessment. Experience leading teams across multiple industries and translating different industry strategies into focused account-development plans and successful outbound campaigns. Knowledge of NVIDIA platforms, routes to market, and organizational relationships, or experience navigating a similarly complex technology sales organization. Understanding of AI, accelerated computing, enterprise software, and on-premises and public cloud customer use cases. Experience partnering with operations teams on inbound automation and implementing approved AI-assisted workflows that improve outreach quality and seller productivity. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most intelligent 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 224,000 USD - 356,500 USD. 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.

NVIDIAHQI 89

We are looking for a Solutions Architect – AI Factory with experience in designing, building, and maintaining large-scale AI factories to join our team at NVIDIA. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you. What you'll be doing: Lead technical discovery with customer architects, engineers, and executives to understand business goals, AI/HPC workloads, performance requirements, security constraints, and deployment environments. Design end-to-end AI Factory solutions spanning compute, networking, storage, cluster management, workload orchestration. Guide customers through adoption of NVIDIA's full-stack platform. Run proof-of-concepts, workshops, technical enablement, demos, and architecture solution reviews, that prove technical and business value and accelerate customer adoption. Partner closely with sales account managers to shape technical strategy, qualify opportunities, develop solution proposals, and secure customer wins. Lead technical design reviews, bills of materials, deployment plans, readiness assessments, and handoffs to implementation and operations teams. Build and grow trusted technical relationships with engineers, architects, IT leaders, and executives at strategic customer accounts. What we need to see: BS, MS or PhD in Computer Science, Engineering or a related field (or equivalent experience). 5+ years in senior technical roles such as Solutions Architect, Systems Architect, AI/ML Platform Engineer, Technical Consultant, or similar. Established track record designing, deploying, or operating AI and HPC infrastructure at enterprise scale. Deep technical expertise in several of the following: datacenter infrastructure, distributed systems, high-performance networking, storage, cluster management, AI/HPC workload orchestration, and GPU-accelerated computing. Experience leading technical discovery, architecture workshops, proof-of-concepts, performance validation, and executive-level technical presentations. Effective collaboration across teams, combined with excellent written and verbal communication. Ways to stand out from the crowd: Strong experience working with enterprise customers across Armenia and Central Asia. Native or fluent Armenian and Russian, with professional English. Hands-on experience with the NVIDIA AI Factory stack. Experience with MEP (Mechanical, Electrical, and Plumbing) systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems. If you're ready to take on this outstanding opportunity and help NVIDIA continue to lead the world in technology innovation, apply now! NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

NVIDIAHQI 89

As a Senior Software Engineer on NVIDIA’s Global Network Visibility (GNV) team within NVIDIA's Global Network Infrastructure (GNI) organization, you will lead the platform that turns network topology, configuration, telemetry, and direct measurement into trusted, self-service insight. Your work will help teams understand network health and customer impact, accelerate incident triage, and bring AI, storage, backbone, and edge infrastructure online with confidence. You will set direction across authoritative network data, scalable measurement, and customer-facing visibility products. You will define durable interfaces, lead cross-domain decisions, and guide build-versus-buy choices. Success means the platform is credible, adopted, and trusted. What you'll be doing: Set the architecture for a unified platform spanning topology, configuration, telemetry, active measurement, change intelligence, and self-service experiences Build an authoritative network model connecting physical topology, logical overlays, configurations, and service dependencies across systems of record, and use it to catch physical and logical configuration errors during cluster bring-up Define a telemetry & measurement strategy combining reachability tests, streaming signals, traffic & capacity data, and change & maintenance events Deliver intuitive health, path, blast-radius, and self-service exploration products that help customers answer network questions independently Establish interfaces, data contracts, quality standards, and operating mechanisms that let teams contribute without fragmenting the experience Drive cross-functional roadmaps; make clear tradeoffs among speed, cost, reliability, and maintainability; and mentor engineers through critical designs What we need to see: Bachelor’s degree or equivalent experience, plus 10+ years of relevant industry experience Record of architecting and operating large-scale software or infrastructure platforms, with strong proficiency in Python, Go, or a comparable systems language Deep expertise in one area—with breadth across the others: network topology and sources of truth, telemetry and active measurement, or observability products Strong data center and backbone networking fundamentals across physical connectivity, routing, overlays, services, and customer-visible failures Hands-on experience across an observability stack such as Prometheus, Grafana, and OpenTelemetry, including active or synthetic monitoring and containerized deployment on Kubernetes Experience with large-scale graph, relational, time-series, streaming, API, or event-driven systems that reconcile multiple sources Technical leadership across teams, with strong product and operational judgment and clear tradeoffs among performance, resiliency, usability, and cost Ways to stand out from the crowd: Led a network visibility or infrastructure intelligence platform spanning thousands of devices or hosts Experience with AI or HPC networks, including RDMA, RoCE over Spectrum-X, or InfiniBand Experience with network sources of truth such as NetBox or Nautobot, streaming telemetry (gRPC/gNMI), graph databases, or front-end development in TypeScript and React SRE or network operations experience, plus a record of setting standards, making build-versus-buy decisions, or contributing to open source NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you! NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for over 25 years. It’s a unique legacy of innovation fueled by great technology—and dynamic 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. 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 - 270,250 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 8, 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 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 that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. NVIDIA’s DFX team is looking for an exceptional DFT Engineer to help shape the future of compute. As stewards of the entire Scan Test Lifecycle, we drive innovation for the most advanced silicon in the world—spanning 2.5D/3D AI data center platforms, Gaming and Enterprise GPUs, and complex SOCs powering Autonomous Machines, Robotics, and Industrial systems. You will innovate at scale, designing and prototyping breakthrough Test Architectures for reticle sized, multi-chiplet products—from RTL to verification to post-silicon ATE bring-up. Join a globally recognized team that consistently delivers breakthrough performance across multiple high-impact tape-outs each year. What you'll be doing: Develop and deploy Industry-leading test methodologies on NVIDIA’s next-generation silicon platforms. Collaborate with leading EDA vendors to shape tool capabilities that meet NVIDIA’s ambitious design goals, and partner with internal CAD teams to drive scalable, automated solutions. Co-architect novel DFT strategies alongside VLSI and Product Engineering teams to push the boundaries of silicon test innovation. Own the full ATPG lifecycle—verification, coverage analysis, pattern generation, and ATE bring-up—across NVIDIA’s full product portfolio. Guide and mentor junior engineers, helping them navigate complex design trade-offs to achieve world-class quality and efficiency. What we need to see: MS/PhD or equivalent experience in Electrical Engineering or a related field 6+ years of hands-on experience in Design-For-Test (DFT) Deep knowledge of DFT tools, methodologies, and test strategies for complex, large-scale designs Strong experience with industry standard ATPG tools Clear, effective communicator—strong written and verbal skills Passion for mentoring and scaling technical excellence in a team Ways to stand out from the crowd: Experience with 2.5D/3D ICs, multi-chiplet architectures, or reticle-sized designs Background in developing or enhancing EDA tool flows Experience with Silicon testing and Automatic Test Equipment (ATE) Expertise in using programming languages and AI for automation Personal success stories in leading org wide changes NVIDIA offers highly competitive salaries and a comprehensive benefits package. At NVIDIA, we work on the hardest problems, and some of the most brilliant and motivated people in their fields choose to work here. Our world-class engineering teams are growing, as we lead the AI revolution from the front. If you are ready to make an impact in this journey, 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 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 6, 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.