Ai Factory Jobs

NVIDIAHQI 89

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

NVIDIAHQI 89

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.

NovartisHQI 72

This job is with Novartis, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Summary Novartis architecture principles call for AI adoption guided by business value: AI is evaluated for new solutions and enhancements wherever it delivers a clear benefit, and it must be delivered on infrastructure that is secure, compliant and economically sustainable. Within Cloud & Hosting Services, AI & HP

NVIDIAHQI 89

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

NVIDIAHQI 89

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

Collective.workHQI 74

Ever"T - Société de Conseil tech IA-native, innovante et en hypercroissance - cherche un-e Product Owner pour porter le produit « plateforme » d'une AI Factory. Le contexte Une AI Factory construit et opère une plateforme agentique : le socle unique sur lequel sont créés, déployés et exploités les agents IA (catalogue d'agents, connecteurs MCP, catalogue de skills, interfaces conversationnelles, intégrations aux systèmes internes). L'équipe qui maintient ce socle l'enrichit en continu. La plateforme sert deux familles d'utilisateur-rice-s aux besoins très différents : * des équipes techniques (AI engineers, data scientists) qui construisent les produits IA sur la plateforme et attendent des briques techniques profondes ; * des tandems « AI Builder / métier » qui créent agents et RAG au service d'usages concrets (RH, marketing, finance, éditorial, direction). Ton rôle : recueillir et arbitrer les besoins de ces deux populations, structurer le backlog et faire avancer les sprints avec l'équipe technique. Tes responsabilités * Construire, maintenir et prioriser le backlog de la plateforme selon la valeur, les dépendances techniques et la roadmap * Rédiger des user stories et critères d'acceptation exploitables directement par les développeur-euse-s * Préparer et animer les cérémonies agiles (affinage, planification, revue, rétrospective) * Être le point d'entrée des équipes techniques sur leurs besoins d'évolution du socle, et tenir la discussion technique d'égal à égal * Recueillir les besoins des tandems AI Builder / métier, les traduire en fonctionnalités et les challenger quand c'est nécessaire * Arbitrer entre des demandes concurrentes issues de populations aux priorités différentes * Organiser les démos, collecter les retours et accompagner l'adoption (documentation, sessions de prise en main) * Piloter les tickets et l'avancement dans Jira, suivre les indicateurs (usage, agents déployés, incidents, délais), assurer le lien build / run et alerter en amont sur les risques Pourquoi Ever"T ? Chez nous, tu rejoins une communauté IA-native qui repose sur trois piliers fondateurs : Humilité. Progrès. Engagement. Tu bénéficies d'un suivi fort (ta Community Builder, ton facilitateur de Projet), d'un accès à des formations continues, d'événements réguliers (T"Time, T"Coached, T"Cast) et du programme Salarié Diversifié pour développer tes projets perso ou business en parallèle. www.ever-t.fr (http://www.ever-t.fr) * Product Owner confirmé-e, avec une expérience significative sur un produit technique ou une plateforme interne * À l'aise en agile avec des équipes de développement * Bonne compréhension de l'IA générative : agents, RAG, LLM, connecteurs et intégrations de données. On ne te demande pas de développer, mais de comprendre ce que fait l'équipe et de dialoguer d'égal à égal avec des ingénieur-e-s * Aisance sur un environnement cloud et data (notions d'architecture, API, entrepôt de données) * Maîtrise de Jira * Capacité à parler aussi bien à des ingénieur-e-s qu'à des utilisateur-rice-s non technniques * Autonomie forte, sens de la priorisation, capacité à dire non et à argumenter * Français et anglais courants (équipes et utilisateur-rice-s réparti-e-s sur plusieurs pays)

Linköpings UniversitetHQI 77

NAISS, nationell akademisk infrastruktur för superdatorer i Sverige, tillhandahåller storskaliga beräkningsresurser, lagring samt datatjänster för akademiska användare. NAISS är en centrumbildning med Linköpings universitet som värd och har 12 partneruniversitet över hela Sverige. Vill du arbeta i framkant av Europas AI-utveckling och bidra till att bygga nästa generations AI-infrastruktur? Vi söker nu upp till 4 DevOps / Tjänstevecklare som vill vara med och bygga och driva de tjänster som hjälper Sverige och Europa att ta AI-utvecklingen framåt inom en rad områden inklusive livsvetenskaper, materialvetenskap, autonoma system, generell teknik och verktyg, och andra framväxande tillämpningsområden. Tjänsterna erbjuder en unik möjlighet att arbeta tillsammans med forskare, företag, offentliga organisationer och AI-specialister inom EuroHPC:s AI Factory-initiativ samt att göra det enkelt för användare att tillgå och data och AI-lösningar och vara trygg i att lagar och regler efterlevs. Om jobbet Som DevOps / Tjänstevecklare kommer du att driftsätta och driva världsledande tjänster för AI och data, och hjälpa användare och projekt i att tillämpa AI-metoder, verktyg och arbetsflöden på verkliga utmaningar. Beroende på din bakgrund och dina intressen kan du bidra inom ett eller flera tillämpningsområden. Dina arbetsuppgifter Vi är ett litet team och alla förväntas bidra där det behövs efter förmåga. Det är mycket möjligt att du kan få “äga” ett område, och bli den primära beslutsfattaren/ansvariga för det, men du måste också kunna dokumentera och förklara för dina kollegor. Vi arbetar enligt en standardmässig utvecklingscykel och kodgransking är en viktig del i arbetet. Vi arbetar mycket med skriptning och kodbaserad infrastruktur, och du måste kunna tänka som en programmerare och ta saker som algoritmkomplexitet i beaktande. Det är också vanligt att behöva borra ner i källkoden för olika verktyg för att lista ut vad som går fel, så att kunna läsa och förstå kod är viktigt. När vi behöver bygga tjänster, väljer vi moderna, underhållsbara språk som hjälper oss undvika misstag. Vi utvecklar inte ny mjukvara primärt, utan föredrar att klistra ihop existerande saker så långt det går. Som en del av rekryteringsprocessen kommer du att få demonstrera din förmåga praktiskt. Du bör även vara förberedd att diskutera kod i någon form på en eventuell intervju. En del av de tekniker vi arbetar med är virtualisering, containerisering och orkestrering, block-, objekt-, och fillagring, reläer, konfigurationshantering, skriptning, kontinuerlig integration, och infrastruktur-som-kod. Vi förväntar oss inte att du har arbetat med alla dessa, men du bör ha en solid grund i Unix/Linux och viss kunskap om olika former av nätverk och säkerhet. Om dig Vi söker dig som har: Masterexamen inom AI, datavetenskap, data science, teknik, eller närliggande område. Demonstrerbar praktisk erfarenhet av tjänsteveckling, Linux DevOps, och av att utveckla och driva tjänster för känslig data, till exempel inom högt reglerade områden som finans eller hälsa. Förmåga att tillämpa teknisk kunskap på verkliga problemställningar. Erfarenhet från forskning, industri, offentlig verksamhet eller innovationsprojekt. Förmåga att arbeta i tvärvetenskapliga och samarbetsorienterade miljöer. Förmåga att skriva och underhålla systemdokumentation. God kommunikationsförmåga på engelska och förmåga att samverka med olika målgrupper. Det är meriterande med en eller flera av följande: Erfarenhet av FOSS, teknik som Linux, OpenShift Kubernetes, infrastruktur som kod, kontinuerlig driftsättning och integration (CI/CD), och erfarenhet av agila arbetssätt. Erfarenhet av HPC, molnbaserade miljöer, dataplattformar eller vetenskapliga beräkningsmiljöer. Erfarenhet inom ett eller flera relevanta områden såsom livsvetenskap, materialvetenskap, autonoma system, AI inom offentlig sektor eller industriell AI. Erfarenhet av att utveckla utbildningsmaterial, ge användarstöd eller arbeta i samarbetsprojekt. Erfarenhet av europeiska forskningsinfrastrukturer, EuroHPC eller internationella samarbeten. Intresse för AI-teknologier och deras praktiska tillämpning. Goda kunskaper i svenska. Din arbetsplats Du kommer arbeta på https://swedenaifactory.se/ som är en del av ett europeiskt initiativ för att stärka utvecklingen av tillförlitlig och konkurrenskraftig AI inom forskning, industri och offentlig sektor. Genom avancerad superdatorinfrastruktur, expertstöd och internationellt samarbete möjliggör vi utvecklingen av AI-lösningar för forskning, näringsliv och offentlig förvaltning. Verksamheten bedrivs i nära samarbete mellan Linköpings universitet, NAISS och RISE. Läs mer om vår verksamhet härhttps://www.naiss.se/ Om anställningen Visstidsanställning, 1 år på heltid, 100%. Tillträde enligt överenskommelse. Rekryteringen avser 4 tjänster med en anställning som Applikationsexpert. Befattningen kan komma att placeras i säkerhetsklass. Om så är fallet kommer säkerhetsprövning med registerkontroll att genomföras innan beslut om anställning fattas. Lön och förmåner Linköpings universitet tillämpar individuell och differentierad lönesättning och sker i enlighet med gällande kollektivavtal (RALS/RALS-T) samt universitetets riktlinjer för lönebildning. NAISS ger sina medarbetare möjlighet till distansarbete upp till 40 % av arbetstiden och goda möjligheter att förena föräldraskap såväl som en aktiv fritid med arbetsliv. Läs mer om förmåner för anställda https://liu.se/jobba-pa-liu/formaner. Fackliga kontaktpersoner Information om fackliga kontaktpersoner, se https://liu.se/jobba-pa-liu/hjalp-for-sokande. Ansökan Välkommen att skicka in din ansökan med CV och ansökningsbrev senast 2026-09-21. Du söker denna anställning genom att klicka på knappen "Ansök" här nedan. Ansökan som inkommer efter sista ansökningsdag kommer inte att beaktas. Vi välkomnar sökande med olika bakgrund, erfarenheter och perspektiv, det berikar och utvecklar vår verksamhet. För oss är det självklart att värna om allas lika värde, rättigheter och möjligheter. Läs om vårt arbete med https://liu.se/artikel/lika-villkor/. Välkommen med din ansökan! Linköpings universitet har upphandlade avtal och undanber oss direktkontakt från bemannings- och rekryteringsföretag samt försäljare av platsannonser.

NVIDIAHQI 89

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We seek a Solutions Architect to join our focused and hardworking AI Factory infrastructure deployment team. NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers and edge computing. If you enjoy system building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution. What you'll be doing: Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers. Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins. Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts. Identify customer architectures and key product requirements in the CSP/OEM AI market to efficiently implement NVIDIA's solutions. Provide on-site support to solve hardware and software problems, with a focus on deep learning inference. Lead the product through its entire lifecycle, from design-in to end-of-life, ensuring detailed execution and customer satisfaction. Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site. Offer technical and sales training to direct sales teams and channel partners. The expected travel requirement is approximately 25-30%. What we need to see: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 5+ years of work-related experience in high-tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM). 4+ years of working experience with Kubernetes, Slurm, Docker, etc. Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus. Remarkable talent for effectively handling multiple initiatives and priorities. Strong time-management and social skills for coordinating complex projects. Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams. Ways to stand out from the crowd: This role requires hands-on experience and extensive ability to solve problems within the customer infrastructure. Kubernetes (K8S) is an infrastructure-orchestration software platform (NVIDIA Mission Control). Practical knowledge of NVIDIA systems technology, such as DGX, GB200, and HGX systems, is a huge plus. Experience working with OEMs in industrial, military, and ruggedized computing spaces. 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 August 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

LINKÖPINGS UNIVERSITETHQI 77

Vi har kraften från över 50 000 studenter och medarbetare. Studenter som ger framtidshopp. Medarbetare som varje dag bidrar till att Linköpings universitet tar sig an samtidens utmaningar. Vår värdegrund vilar på trovärdighet, tillit och trygghet. Genom att vara modiga, tänka fritt och göra nytt skapar vi tillsammans, med stora och små handlingar, en bättre framtid. Välkommen att söka jobb hos oss! Vill du arbeta i framkant av Europas AI-utveckling och bidra till att bygga nästa generations AI-infrastruktur? Vi söker nu flera AI-applikationsexperter som vill bidra till införandet och användningen av avancerade AI-metoder inom ett brett spektrum av områden, inklusive teknik och verktyg, data, life science, materialvetenskap, autonoma system, utbildning och andra framväxande tillämpningsområden. Tjänsterna erbjuder en unik möjlighet att arbeta tillsammans med forskare, företag, offentliga organisationer och AI-specialister inom EuroHPC:s AI Factory-initiativ samt att hjälpa användare att omvandla idéer och data till AI-lösningar med verklig effekt. Om jobbet Som AI-applikationsexpert kommer du att stödja användare och projekt i att tillämpa AI-metoder, verktyg och arbetsflöden på verkliga utmaningar. Beroende på din bakgrund och dina intressen kan du bidra inom ett eller flera tillämpningsområden. Vi välkomnar sökande med expertis inom ett eller flera av dessa områden. Du förväntas inte täcka samtliga områden, och vi uppmuntrar specialister med djup kompetens inom sitt fält att söka. Rollen kombinerar praktiskt tekniskt arbete, användarstöd, samarbete med domänexperter samt deltagande i utvecklingen av AI-tjänster och bästa praxis inom MIMER och det bredare europeiska AI-ekosystemet. Arbetsuppgifter Stöd och expertis inom AI-tillämpningar Stödja forskare, företag och offentliga organisationer i införandet och användningen av AI-teknologier. Bidra med expertkunskap inom ett eller flera områden, såsom life science, materialvetenskap, autonoma system, datavetenskap, AI-verktyg eller utbildning. Hjälpa till att identifiera lämpliga AI-metoder, arbetsflöden och teknologier för specifika användningsfall. Projekt- och användarsamverkan Arbeta direkt med användare för att förstå deras utmaningar och omsätta dem till AI-baserade lösningar. Ge vägledning kring dataförberedelse, modellutveckling, utvärdering och driftsättning. Bidra till pilotprojekt, demonstrationer och proof-of-concept-aktiviteter. Kunskapsspridning och communitybyggande Utveckla dokumentation, handledningar, utbildningsmaterial och exempel. Delta i workshops, utbildningsinsatser och kommunikationsaktiviteter. Bidra till att bygga en stark nationell och europeisk AI-gemenskap. Samarbete och innovation Samarbeta med experter från akademi, industri och offentlig sektor. Bidra till att identifiera nya möjligheter för AI-användning och innovation. Medverka till den kontinuerliga utvecklingen av MIMER:s tjänster och stöderbjudanden. Om dig Vi söker dig som har: Masterexamen inom AI, datavetenskap, data science, teknik, life science, materialvetenskap, tillämpad matematik eller närliggande område. Praktisk erfarenhet av AI, maskininlärning, dataanalys eller relaterade beräkningsmetoder. Förmåga att tillämpa teknisk kunskap på verkliga problemställningar. Erfarenhet från forskning, industri, offentlig verksamhet eller innovationsprojekt. Intresse för AI-teknologier och deras praktiska tillämpning. Förmåga att arbeta i tvärvetenskapliga och samarbetsorienterade miljöer. God kommunikationsförmåga och förmåga att samverka med olika målgrupper. Det är särskilt meriterande om du har: Erfarenhet av moderna AI-metoder såsom generativ AI, foundation models eller maskininlärningsapplikationer. Erfarenhet av HPC, molnbaserade miljöer, dataplattformar eller vetenskapliga beräkningsmiljöer. Erfarenhet inom ett eller flera relevanta områden såsom life science, materialvetenskap, autonoma system, AI inom offentlig sektor eller industriell AI. Erfarenhet av att utveckla utbildningsmaterial, ge användarstöd eller arbeta i samarbetsprojekt. Erfarenhet av europeiska forskningsinfrastrukturer, EuroHPC eller internationella samarbeten. Mycket goda kunskaper i svenska. Din arbetsplats MIMER AI Factory är en del av ett europeiskt initiativ för att stärka utvecklingen av tillförlitlig och konkurrenskraftig AI inom forskning, industri och offentlig sektor. Genom avancerad superdatorinfrastruktur, expertstöd och internationellt samarbete möjliggör vi utvecklingen av AI-lösningar för forskning, näringsliv och offentlig förvaltning. Verksamheten bedrivs i nära samarbete mellan Linköpings universitet, NAISS och RISE. Om anställningen Visstidsanställning, 1 år på heltid, 100%. Tillträde enligt överenskommelse. Rekryteringen avser 10 tjänster. Befattningen kan komma att placeras i säkerhetsklass. Om så är fallet kommer säkerhetsprövning med registerkontroll att genomföras innan beslut om anställning fattas. Lön och förmåner Linköpings universitet tillämpar individuell och differentierad lönesättning och sker i enlighet med gällande kollektivavtal (RALS/RALS-T) samt universitetets riktlinjer för lönebildning. NAISS ger sina medarbetare möjlighet till distansarbete upp till 40 % av arbetstiden. Läs mer om förmåner för anställda https://liu.se/jobba-pa-liu/formaner. Fackliga kontaktpersoner Information om fackliga kontaktpersoner, se https://liu.se/jobba-pa-liu/hjalp-for-sokande. Ansökan Välkommen att skicka in din ansökan med CV och ansökningsbrev senast den 17 augusti 2026. Du söker denna anställning genom att klicka på knappen "Ansök" här nedan. Ansökan som inkommer efter sista ansökningsdag kommer inte att beaktas. Vi välkomnar sökande med olika bakgrund, erfarenheter och perspektiv, det berikar och utvecklar vår verksamhet. För oss är det självklart att värna om allas lika värde, rättigheter och möjligheter. Läs om vårt arbete med https://liu.se/artikel/lika-villkor/. Välkommen med din ansökan! Linköpings universitet har upphandlade avtal och undanber oss direktkontakt från bemannings- och rekryteringsföretag samt försäljare av platsannonser.

LINKÖPINGS UNIVERSITETHQI 82

We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! Do you want to work at the forefront of Europe's AI development and contribute to building the next generation of AI infrastructure? We are now looking for several AI Application Experts who want to contribute to the adoption and application of advanced AI methods across a wide range of domains, including technology and tools, data, life science, materials science, autonomous systems, training, and other emerging application areas. These positions offer a unique opportunity to work with researchers, companies, public-sector organizations, and AI specialists within the EuroHPC AI Factory initiative and to help users transform ideas and data into impactful AI solutions. The position As an AI Application Expert, you will support users and projects in applying AI methods, tools, and workflows to real-world challenges. Depending on your background and interests, you may contribute within one or several application domains. We welcome applicants with expertise in one or more of these domains. Candidates are not expected to cover all areas, and we encourage applications from specialists who can contribute strong expertise within their field. The role combines hands-on technical work, user support, collaboration with domain experts, and participation in the development of AI services and best practices within MIMER and the wider European AI ecosystem. Responsibilities AI Application Support and Expertise Support researchers, companies, and public-sector organizations in the adoption and use of AI technologies Contribute expertise within one or more domains such as life science, materials science, autonomous systems, data science, AI tools, or training Help identify suitable AI methods, workflows, and technologies for specific use cases Project and User Engagement Work directly with users to understand challenges and translate them into AI-enabled solutions Provide guidance on data preparation, model development, evaluation, and deployment Contribute to pilot projects, demonstrations, and proof-of-concept activities Knowledge Sharing and Community Building Develop documentation, tutorials, training material, and examples Participate in workshops, training events, and outreach activities Contribute to building a strong national and European AI community Collaboration and Innovation Collaborate with experts from academia, industry, and the public sector Help identify new opportunities for AI adoption and innovation Contribute to the continuous improvement of MIMER services and support offerings The person we need We are looking for someone who has: A Master's degree in AI, computer science, data science, engineering, life sciences, materials science, applied mathematics, or a related field Practical experience with AI, machine learning, data analytics, or related computational methods Ability to apply technical knowledge to real-world problems Experience working in research, industry, public-sector organizations, or innovation projects Interest in AI technologies and their practical application Ability to work in interdisciplinary and collaborative environments Strong communication skills and ability to engage with different stakeholder groups It is particularly meriting if you have: Experience with modern AI methods such as generative AI, foundation models, or machine learning applications Experience with HPC, cloud computing, data platforms, or scientific computing environments Experience within one or more relevant domains such as life science, materials science, autonomous systems, public-sector AI, or industrial AI Experience developing training materials, providing user support, or working in collaborative projects Experience with European research infrastructures, EuroHPC, or international collaborations Excellent Swedish language skills The workplace MIMER AI Factory is part of a European initiative to strengthen the development of trustworthy and competitive AI in research, industry, and the public sector. Through advanced supercomputing infrastructure, expert support, and international collaboration, we enable the development of AI solutions across research, industry, and public administration. The activities are carried out in close collaboration between Linköping University, NAISS, and RISE. The employment Fixed-term employment for 1 year, full-time, 100%. Starting date as soon as possible or by agreement. The employment entails 10 positions as Applikationsexpert. This position may come to be a security classified position. If so, security screening including a records check will be carried out before any decision on employment is made. Salary and employment benefits Linköping University is a Swedish public employer and offers individual salary setting, as well as opportunities to combine parenthood and an active lifestyle with employment. NAISS offers a possibility of remote work up to 40% of the working time. More information about employee benefits is available https://liu.se/en/work-at-liu/employee-benefits. Union representatives Information about union representatives, see https://liu.se/en/work-at-liu/hjalp%20for%20sokande. Application procedure Apply for the position by clicking the "Apply" button below. Your application must reach Linköping University no later than August 10th, 2026. Applications and documents received after the date above will not be considered. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: https://liu.se/en/article/lika-villkor/. We look forward to receiving your application! Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

NVIDIAHQI 89

We are looking for a Field Applications Engineer! NVIDIA’s AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest enterprise companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that artificial intelligence is a new computing revolution and has the potential to transform the industry. NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers. What You’ll Be Doing: Provide onsite support for large datacenter deployments of NVIDIA AI solutions. Solving complex hardware and deployment issues Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions. Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts. Identify customer architectures and key product requirements in the enterprise AI market. Provide technical and sales training to the direct sales team and channel partners. Establish strong relationships and communication channels with internal teams. What We Need To See: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 5+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role. In-depth knowledge of servers, storage systems, network devices, and other data center hardware Capable of working in a constantly evolving environment without losing focus. Ability to multitask effectively in a multifaceted environment. Expert analytical and problem-solving skills. Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very sophisticated projects. Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering. Ways To Stand Out From The Crowd: Experience with large-scale rollouts of datacenter equipment. Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc. C/C++ and Python programming skills. Embedded Linux System, APIs, and similar embedded OS knowledge. Experience working with OEMs in the industrial, military, and ruggedized computing space. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 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

We are in search of a curious and motivated Senior Solutions Architect to join our NVIDIA Infrastructure Specialists team. In this capacity, you'll support the creation, implementation, and verification of AI factories, focusing on running and debugging AI/LLM workloads and benchmarks on Linux-based GPU clusters. You'll engage with NCCL and collectives like AllReduce and AllToAll to boost performance and scalability, receiving mentorship from senior architects on the team. You will apply observability and automation to improve our benchmarking and validation efforts. You will be a key contact for troubleshooting workloads and benchmarks that fail, hang, or perform poorly. Additionally, you will collaborate with various NVIDIA teams to prepare AI factories for customers, validating both hardware and software for current AI applications. What You Will Be Doing: Set up, adjust, and verify AI factory environments across multi-GPU and multi-node Linux clusters. Validate configurations against guidelines for NCCL, collectives, and distributed training frameworks. Run key AI/LLM benchmarks — setup, orchestration, result collection, and analysis. Investigate and address problems when training jobs or benchmarks fail, hang, or perform below expectations. Build and improve observability for AI factories (metrics, logs, traces, dashboards) to understand workload behavior and system health. Build automation using Python and Shell for conducting benchmarks, retrieving results, and completing regression checks. Analyze communication patterns and NCCL usage for AI/LLM workloads, concentrating on collectives such as AllReduce and AllToAll. Help identify and recommend improvements to job configuration, parallelism strategies, and cluster settings to improve throughput, latency, and scaling efficiency. Work closely with hardware, software, networking, and product teams to prepare AI factories for customer use. Contribute to documentation and readiness materials for internal and customer-facing teams. What We Need to See: Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or a related field. 5+ years of experience managing Linux-based systems in HPC, distributed systems, or AI/ML environments. Hands-on experience running AI/ML workloads on multi-GPU and/or multi-node clusters, including some exposure to NCCL. Practical knowledge of collective communication patterns like AllReduce and AllToAll, and their application in ML/LLM training. Skilled in Python and Shell/Bash for scripting, automation, and tooling. Strong communication skills and the ability to work effectively with cross-functional teams. Ways to Stand Out From the Crowd: Experience benchmarking distributed systems — crafting, running, and interpreting performance benchmarks. Background in HPC performance engineering, SRE, or systems performance analysis for GPU-accelerated environments. Familiarity with observability stacks (metrics/monitoring, logging, tracing) used for large distributed systems. Experience building automation and CI-style pipelines for running and validating benchmarks at scale. Demonstrated interest in using AI to solve practical problems, improve workflows, and guide data-driven decisions. 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 3, and 148,000 USD - 235,750 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 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 is seeking an outstanding Solutions Architect for AI Factory to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our Solutions Architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts passionate about AI Factory. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA! What you will be doing: Maintain an up-to-date understanding of the philosophy, architecture, and deployment methods of various evolving NVIDIA Reference Architectures—e.g., NVIDIA DGX SuperPOD Reference Architecture, NVIDIA Cloud Partner Reference Design, and NVIDIA Enterprise Reference Architecture. Analyze and understand the requirements of customer-initiated AI training or inference clusters. Identify the NVIDIA Reference Architecture that best matches customer needs and effectively communicate its value proposition to collaborators. Facilitate seamless communication between NVIDIA's internal deployment teams and customers during the implementation of AI clusters based on Reference Architectures. Provide hands-on technical support to developers after the AI Factory has been deployed, ensuring that AI training and inference workloads run effectively on the infrastructure. What we need to see: Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field. Minimum of 5+ years of hands-on experience designing, deploying, and operating AI training or inference clusters with sever, storage, and network, that leverage Kubernetes with NVIDIA GPUs. Foundational knowledge and experience with networking technologies—such as InfiniBand and Ethernet—in AI cluster environments, including compute fabric interconnects between GPU servers, storage fabric integration, and out-of-band and in-band management fabrics. Ways to stand out from the crowd: Proficiency in key technologies including: Container Runtime Interface (CRI), Container Network Interface (CNI), Calico, NVIDIA GPU Operator, NVIDIA Network Operator, and Kubeflow Training Operator. Knowledge and experience of facilities being used in building AI Factories, including cooling devices, power distribution, or plumbing. 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, passionate and self-motivated, we want to hear from you! 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.