Currently tracking 440 active AI roles, down 46% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 107 new AI-related roles. That is a -49% change versus the prior 30 days (211 → 107).
| Title | Stage | AI score |
|---|---|---|
| Senior Product Marketing Manager Product Marketing Manager for NVIDIA's Manufacturing industry solutions, focusing on go-to-market strategy and partner co-marketing for AI-accelerated CAE workflows and agentic AI in engineering and manufacturing. | — | 5 |
| Senior Software Engineer, Profiling Services NVIDIA is seeking a Senior Software Engineer to build a low-overhead, always-on GPU profiling service for ML workloads. The role involves C/C++ development, system-level programming, and integrating profiling models with ML workflows to provide actionable insights. Experience with GPU profiling, CUDA, and ML ecosystems is highly valued. | — | 5 |
| Principal System Software Engineer - CUDA Driver NVIDIA is seeking senior engineers to work on the CUDA driver, a core component of their GPU acceleration platform. The role involves evangelizing, architecting, and implementing new CUDA features, collaborating with hardware teams, and developing code for multiple operating systems. Experience with systems software development, C programming, operating system interfaces, and HW/SW co-design is required. |
| — |
| 5 |
| Software CSP Co-Sell Specialist – Hyperscale AI and Developer Ecosystem This role focuses on driving the adoption of NVIDIA's AI and Generative AI software within a Cloud Service Provider (CSP) ecosystem. It involves developing joint go-to-market strategies, building relationships with CSP engineering and developer communities, and enabling field teams to scale GPU-accelerated AI workloads. The position requires a blend of technical partnership, ecosystem development, and co-sell strategy, translating developer feedback into product insights and supporting strategic customer opportunities. | — | 5 |
| Senior ASIC Design Verification Engineer - LPU Senior ASIC Design Verification Engineer to verify the design and implementation of the world's leading inference accelerator. This role involves using advanced verification methodologies, collaborating with cross-functional teams, and potentially applying machine learning to the verification flow. | Serve | 5 |
| Senior Full-stack Software Engineer – Verification Data Platform Senior Full-stack Software Engineer to build a next-generation event-driven data platform for NVIDIA's GPU development. The role involves developing real-time data processing pipelines, building microservices and AI agents, and establishing guidelines for data architecture and observability. Experience with Kafka, Flink, Spark Streaming, and distributed systems is required. Familiarity with LLM integration and agentic AI frameworks is a plus. | Agent | 5 |
| Senior HPC Cluster Engineer NVIDIA is seeking a Senior HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for EDA and HPC workloads. The role involves developing automation solutions, improving infrastructure, providing technical leadership, and supporting researchers with performance analysis and optimization. | — | 5 |
| Senior Network Solution Architect Senior Network Solution Architect role at NVIDIA, focusing on driving end-to-end technology solutions with a specific emphasis on the networking portfolio. The role involves supporting sales engagements, defining reference architectures, managing technical accounts, responding to RFPs, building POCs, and providing feedback to engineering teams. It requires deep networking experience and understanding of datacenter engineering, with a focus on AI and LLM applications. | — | 5 |
| System Design Engineer NVIDIA is looking for a System Design Engineer to develop next-generation products including GPUs, DPUs, CPUs, and LPUs for Graphics, Self-driving platforms, and Data centers. The role involves end-to-end design execution, testing, documentation, and interfacing with other engineering teams. Responsibilities include researching new features and implementing industry standards in product development. | — | 5 |
| Senior Solutions Architect Networking Ethernet - NVIS NVIDIA is seeking a Senior Solutions Architect for Networking Ethernet to join its NVIDIA Infrastructure Specialist Team. This role involves building and supporting AI/HPC infrastructure for customers, focusing on networking, system design, and automation. The architect will engage with customers and internal teams to define and implement large-scale networking projects, ensuring the operational health and reliability of AI clusters. | — | 5 |
| Senior Systems Engineer - Physical Security Technology Senior Systems Engineer role focused on deploying, monitoring, and operating cloud resources for physical security systems, including infrastructure as code, automation, and global systems integration. Requires knowledge of AI technologies pertaining to security systems and experience with various security systems. | — | 5 |
| Developer Relations Manager, Retail - EMEA NVIDIA is seeking a Developer Relations Manager for the Retail sector in EMEA to lead engagement with startups and software partners building AI agents and generative AI applications. The role involves evangelizing NVIDIA's technologies, providing technical guidance on LLMs and multi-modal applications, and gathering developer feedback to inform product roadmaps. The ideal candidate has a strong technical background in AI/ML, experience in business development, and excellent communication skills to influence and guide developers and partners. | — | 5 |
| Senior Software Engineer - HPC Senior Software Engineer focused on improving HPC infrastructure for AI applications, involving distributed systems, cloud operations, and reliability. | — | 5 |
| Senior Architect, GPU Profiling System This role focuses on architecting and designing a GPU profiling subsystem, which involves hardware modeling, verification, and performance analysis. While the company is involved in AI, this specific role is about the underlying hardware and software infrastructure that supports performance optimization, not direct AI/ML model development or deployment. | — | 5 |
| Senior GPU Architect This role focuses on designing and developing the profiler subsystem within NVIDIA's GPUs, which is crucial for performance optimization tools. It requires expertise in GPU architecture, hardware modeling, operating systems, and application performance analysis, with a focus on improving hardware profiling for better performance insights. While the company is involved in the AI revolution and the role mentions AI workloads, the core craft is GPU architecture and performance profiling, not direct AI model development. | — | 5 |
| EDGE Computing Business Development Manager Business Development Manager for NVIDIA's EDGE Computing and Jetson products, focusing on sales, customer relationships, ecosystem development, and market analysis in China. | — | 5 |
| Factory Planner, Inventory Control This role focuses on inventory control and accuracy within a manufacturing environment, leveraging data, automation, and AI tools to improve processes. The primary responsibilities include ensuring inventory accuracy, leading reconciliations, managing data interfaces, and driving digitalization initiatives. The role requires experience with SAP, EDI, and working with contract manufacturers, with a preference for candidates who have used AI or automation to enhance productivity. | — | 5 |
| Technical Marketing Engineer - DGX Cloud This role focuses on technical marketing for NVIDIA's DGX Cloud, an AI infrastructure solution. The engineer will help partners deploy and use NVIDIA's AI infrastructure software, demonstrating integrations across the full stack from hardware to AI use cases. Responsibilities include building automation, demos, reference architectures, and engaging with the developer community to support adoption. | — | 5 |
| Principal System Software Engineer - Data Center MODS NVIDIA is seeking a Principal System Software Engineer to architect and scale next-generation diagnostic systems for Cloud Service Providers (CSPs), focusing on AI accelerator products. The role involves defining technical roadmaps, leading multi-functional development, and deploying robust diagnostic frameworks. Expertise in distributed systems, hardware/software interfaces, C++, Python, and system software is required. | — | 5 |
| Senior GPU Communications Libraries Test Development Engineer, SDET This role focuses on testing and automating tests for NVIDIA's GPU Communications Libraries, which are foundational for high-performance computing and AI workloads. While not directly building AI models, the role requires solid experience with AI development tools and deep learning frameworks to ensure the quality of the underlying infrastructure. | — | 5 |
| GSI Client Manager Client Director for Global System Integrators (GSI) in EMEA to lead business relationships and help GSIs evolve into exemplary partners for providing AI enabled Services. This role involves devising enablement plans, enhancing skills on GPU accelerated computing, and acting as a bridge between GSIs and NVIDIA Solution Architects for PoCs and RFQs. | — | 5 |
| GSI Client Manager Client Director for Global System Integrators (GSI) focused on infrastructure and managed services in EMEA, managing business relationships and enabling GSIs to provide AI-enabled services. This role involves defining strategy, devising enablement plans, and acting as a bridge between GSIs and NVIDIA Solution Architects for PoCs and RFQs. | — | 5 |
| Principal SoC Architect - Hardware NVIDIA is seeking a Principal Hardware SoC Architect to define next-generation SoCs for AI, automotive, and HPC applications. This role involves end-to-end hardware architecture lifecycle ownership, co-design with software teams, performance modeling, specification authoring, and post-silicon support. The ideal candidate has extensive SoC architecture experience and a strong understanding of various system components and technologies. | — | 5 |
| Principal Software Engineer, AI Networking Principal Software Engineer to lead technical strategy for AI networking systems, focusing on customer engagements, product development, and architecture for NVIDIA's networking products like BlueField and ConnectX. Responsibilities include deep technical engagements, driving improvements, and translating customer needs into product features. | — | 5 |
| Senior Networking Software Product Manager – DOCA Product Manager for NVIDIA's DOCA Networking software stack, focusing on AI factories and cloud environments. The role involves leading product strategy, defining requirements, and forging partnerships for data center and AI networking platforms. | — | 5 |
| Senior Developer Relations Manager NVIDIA is seeking a Senior Developer Relations Manager to engage with the China industrial and research community, promoting GPU Accelerated Computing solutions including AI for science, Machine Learning, Deep Learning, Generative AI, and Agentic AI. The role involves understanding community requirements, analyzing technical requests, advising on solutions, and driving adoption of NVIDIA's portfolio, with a specific focus on the CAE/EDA developer community. | — | 5 |
| Senior CUDA Test Development Software Engineer, SDET NVIDIA is seeking a Senior CUDA Test Development Software Engineer to ensure the quality of CUDA products, including drivers and libraries. The role involves designing and implementing functional/performance tests, automating tests, triaging results, and developing scripts/tools. While the company is a leader in AI computing and GPUs power deep learning frameworks, this specific role focuses on QA for CUDA products, with a requirement for experience using AI tools for test automation and bug fixing. | — | 5 |
| Senior SWQA Test Development Engineer, SDET This role focuses on enhancing QA efficiency using AI-powered tools for test automation, defect detection, and optimization. While it leverages AI tools extensively, the core craft is software quality assurance and testing, not the direct development or research of AI models themselves. The primary output is a tested software product. | — | 5 |
| Account Manager, Nokia Account Manager for NVIDIA, working with a large telecommunications partner to drive joint success in AI, accelerated computing, and 5G/6G solutions. The role involves building relationships, understanding partner needs, coordinating with NVIDIA teams, and acting as a liaison for support cases. | — | 5 |
| Senior Developer Relations Manager NVIDIA is seeking a Senior Developer Relations Manager to evangelize and engage with ISV partners and customers to promote the DGX Cloud platform, focusing on agentic AI, model training, and inference workloads. The role involves developing ISV strategy, creating sales and marketing assets, participating in customer conversations, and building technical partnerships. | — | 5 |
| Senior Methodology Engineer, Web Development This role focuses on building solutions to enhance the productivity and efficiency of custom circuit designs by automating hardware testing workflows, improving data collection and analysis using AI, and designing user interfaces for hardware tasks. The engineer will collaborate with multi-functional teams, automate data parsing, build data visualization interfaces, and optimize large dataset processing. | — | 5 |
| Infiniband Network Engineer NVIDIA is seeking a Senior HPC Engineer to deploy, manage, and maintain Infiniband networks for AI Factory infrastructure in Linux environments. This role involves customer interaction, system design, automation, and providing feedback to internal teams. The ideal candidate has 4+ years of experience with Infiniband networks and troubleshooting. | — | 5 |
| Developer Relations Manager - Omniverse NVIDIA is seeking a highly technical Senior Developer Relations Manager to drive adoption of Omniverse and physical AI simulation libraries and AI models across its software partner ecosystem. The role involves serving as a technical advisor, developing expertise in Omniverse and related technologies, co-designing technical solutions with partners, and creating enablement resources. The candidate will engage with partner organizations, represent partner needs internally, and support product launches. A strong technical background in software development, visualization, simulation, or AI/ML workflows is required. | — | 5 |
| Senior AI and HPC Observability Engineer NVIDIA is seeking a Senior AI and HPC Observability Engineer to design and scale observability platforms and telemetry pipelines for AI/ML systems. The role involves building high-performance backend services, developing OpenTelemetry components, optimizing metrics pipelines, and ensuring platform reliability in distributed environments, with a focus on AI and HPC workloads. | Serve | 5 |
| Senior System Failure Analysis Engineer This role focuses on system failure analysis, investigating complex product failures across hardware, software, and firmware. The engineer will lead investigations, synthesize data, and utilize AI-driven methodologies to identify root causes and systemic risks, supporting customer quality and guiding future product robustness. | — | 5 |
| Senior Software Developer, AI Networking Senior Software Developer role focused on developing a high-performance, low-level infrastructure for AI networking acceleration, specifically for inference. The role involves working with hardware offloads, GPU kernels, and RDMA, aiming to optimize the inference process on large-scale supercomputers and data centers. | Serve | 5 |
| Factory Planner NVIDIA is seeking a Factory Planner to manage supply chain operations, translating demand into executable factory plans. This role involves balancing materials, capacity, and manufacturing readiness with contract manufacturing partners and cross-functional teams. The position requires leveraging AI-enabled, analytics, and automation tools to enhance productivity, decision quality, and responsiveness in a dynamic manufacturing environment. | — | 5 |
| Senior Manager, Embedded Sales Senior Manager to lead AI Edge and Embedded business strategy for EMEA, focusing on Go-To-Market execution, partner network expansion, and team leadership. Requires experience in semiconductor, AI, or embedded systems, with a strong understanding of AI Edge computing. | — | 5 |
| Product Manager, ISV Experience - DGX Cloud Product Manager role focused on the developer experience and API roadmap for Infrastructure ISVs on DGX Cloud, enabling them to scale and monetize their AI software. The role involves defining multi-tenancy features, telemetry, and metering tools, and creating standardized 'Blueprints' for ISV software on NVIDIA platforms. Requires deep understanding of the AI lifecycle, cloud-native technologies, and building developer-first platforms. | — | 5 |
| Senior SoC Power Analysis Engineer Senior SoC Power Analysis Engineer at NVIDIA, focusing on analyzing and optimizing silicon power and performance for various NVIDIA SoCs, including those used in AI workloads. The role involves creating power models and collaborating with cross-functional teams to improve power efficiency. | — | 5 |
| Orbital Datacenter System Architect NVIDIA is seeking an Orbital Datacenter System Architect to define and build products for AI in orbit, driving architecture from chip to satellite and connectivity, and collaborating with internal teams, customers, and partners. | — | 5 |
| Developer Technology Intern, High-Performance Databases - Summer 2026 NVIDIA is seeking a Developer Technology Intern to research and develop techniques for GPU-accelerating machine learning applications, focusing on optimizing data storage and ingestion pipelines for AI workloads. The intern will profile, analyze, and implement optimizations for high-performance computing fields, collaborating with experts to leverage new hardware features and develop novel parallel algorithms. | Data | 5 |
| Senior Technical Product Manager - GPU Direct Storage Technical Product Manager for NVIDIA's GPUDirect Storage and cuFile products, focusing on product strategy, customer engagement, and go-to-market for GPU-accelerated storage solutions used in AI and HPC. | — | 5 |
| Software Engineering Intern, Test Development - 2026 Internship role focused on test development for NVIDIA GPU Cloud products, involving test execution, automation, and issue triage. Requires experience with AI development tools to enhance QA processes. | — | 5 |
| Senior System Software Engineer - Data Platform Observability Senior System Software Engineer to lead the evolution of NVIDIA's next-generation Data & Observability Platform, serving AI, HW, and SW engineering teams. The role involves architecting high-performance ingestion pipelines, building policy enforcement systems, developing a unified user interface and APIs, optimizing storage, and driving platform automation. | — | 5 |
| Senior Site Reliability Engineer - HPC Senior Site Reliability Engineer for NVIDIA's Compute Farm team, focusing on building and operating a global services platform for HPC and AI workloads. The role involves end-to-end SRE solutions, Infrastructure as Code, multi-cloud environments, and ensuring high availability and quality of service for internal customers. Requires strong experience in supporting large-scale HPC clusters, CI/CD, IaC, and operational excellence. | — | 5 |
| Customer Program Manager - Auto NVIDIA is seeking a Customer Program Manager for the China market to lead autonomous driving and centralized car computer programs with Tier-1 system providers and car OEMs. This role involves managing program execution, customer relations, defining schedules, tracking progress, resolving technical and logistic issues, and communicating program status to internal and external stakeholders. Requires 5+ years of experience in program management in the Automotive or Embedded Industry with a strong technical background and experience with global projects. | — | 5 |
| Manager, SWQA Test Development Manager for SWQA Test Development at NVIDIA, focusing on GPU Cloud Computing products. The role involves leading a team to develop test plans and automated testing, with an emphasis on using AI technologies to improve quality and efficiency. The manager will drive a "Zero Defect" culture and collaborate with various engineering teams. | — | 5 |
| Distinguished Resiliency and Safety Architect, GPU Diagnostics The role focuses on designing, developing, and maintaining diagnostic software for NVIDIA GPUs and SoCs, specifically for resiliency in datacenters and functional safety in autonomous vehicles and robots. It involves identifying hardware defects, addressing coverage gaps, studying failure mechanisms, and ensuring compliance with safety standards like ISO 26262. The position requires deep understanding of hardware/software boundaries, high-performance computing systems, and proficiency in C/C++, CUDA, and Python. | — | 5 |
| Senior Software Developer NVIDIA is seeking a Senior Software Developer to join their AI networking acceleration team. The role involves developing a groundbreaking open-source library using hardware offloads, GPU Kernels, and RDMA network cards, focusing on a performance-oriented, low-level infrastructure for inference. The position requires strong C++/C/Rust development skills, Linux environment experience, and knowledge of networking stacks and computer architecture. CUDA kernel programming and familiarity with ML frameworks are advantageous. | Serve | 5 |