Currently tracking 440 active AI roles, down 50% 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 Mapping Engineer - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicle Map Team, focusing on building and integrating production-grade on-vehicle map solutions that enable real-time map consumption by perception, localization, and planning systems. The role involves C++ performance optimization for embedded systems and real-time constraints, and potentially contributing to cloud mapping pipelines. | — | 5 |
| Senior ADAS Product Manager - Autonomous Vehicles Product Manager for NVIDIA's Autonomous Vehicle (ADAS) platform, focusing on bringing ground-breaking autonomous driving solutions to market. Responsibilities include developing product roadmaps, defining product requirements, assessing product performance, and working with cross-functional engineering teams to integrate their work into the autonomous driving platform. Requires experience in product management, familiarity with autonomous technologies and software development processes, and strong analytical and communication skills. | — |
| Principal Program Manager, Carline – Autonomous Vehicles Principal Program Manager to coordinate the complete implementation of self-driving features for an autonomous vehicle model, partnering with engineering, product, system, and validation teams to bring next-generation driving intelligence from concept to production. The role requires leading the full lifecycle of an autonomous driving program, managing cross-functional teams, schedules, dependencies, and risks, and driving issue resolution and process refinement. | — | 5 |
| Senior Functional Safety Manager - Autonomous Vehicles Senior Functional Safety Manager for Autonomous Vehicles at NVIDIA, focusing on safety engineering processes (ISO 26262, ISO 21448, ISO 8800) for AI-powered autonomous driving systems. Requires deep understanding of functional safety, automotive development, and system safety methodologies. Collaborates with cross-functional teams and external partners. | — | 5 |
| Senior Solutions Architect, Data Center Buildouts – NPN This role supports customers and partners in planning, developing, constructing, and deploying large-scale AI factories, focusing on the physical infrastructure (power, cooling, networking) and ensuring compliance with NVIDIA's reference architecture. It involves acting as a technical liaison, providing expertise, and enabling successful AI factory adoption. | — | 5 |
| Senior Solutions Architect, Ethernet Networking – NPN This role is for a Senior Solutions Architect focused on Ethernet networking for AI data centers. The primary responsibility is to provide deep networking expertise for the design, architecture, testing, and deployment of large-scale AI factories, working closely with partners and customers. The role involves crafting automation scripts, implementing network configurations, and validating network performance to enable customers to operationalize AI solutions. | — | 5 |
| Solutions Architect, Networking - CSP NVIDIA is seeking a Solutions Architect specializing in networking for AI/ML and HPC on hyperscalers. The role involves working with major customers to develop and demonstrate solutions using NVIDIA's hardware and software, providing technical support, debugging issues, and building Proofs of Concept for critical business needs. The position requires expertise in datacenter design, networking protocols, and strong analytical skills, with a preference for experience in GPU and networking systems, deep learning infrastructure, and scripting languages. | — | 5 |
| Solutions Architect, Data Center Buildouts - NVIS This role focuses on the infrastructure buildout for large-scale AI data centers, including power, cooling, and control systems, using NVIDIA products. It involves planning, design, construction, and deployment support for customers and partners, ensuring compliance with reference architectures and industry standards. | — | 5 |
| Senior Solutions Architect, Datacenter CPUs NVIDIA is seeking a Senior Solutions Architect experienced in Arm-based server CPUs to join their team in Santa Clara, CA. The role involves acting as a technical liaison for NVIDIA’s CPU portfolio with cloud partners, encouraging adoption and improving next-generation cloud instances and services. Responsibilities include architecting and validating multi-tenant cloud infrastructure, guiding customers through workload migration and optimization, performing performance analysis, and creating technical content for evangelism. The ideal candidate will have a Bachelor’s degree, 8+ years of experience in a technical customer-facing role, a solid understanding of server CPU architecture, and hands-on experience with Arm-based processors and the Arm software ecosystem. | — | 5 |
| Hardware Architect, Deep Learning GPU and System NVIDIA is seeking a Hardware Architect to join their Deep Learning GPU and System team. The role involves contributing to features for next-generation GPUs and systems to advance AI. Responsibilities include analyzing deep learning methods on hardware architectures, proposing new features (HW, SW, or Algorithmic), and focusing on hardware architecture and workload performance. Requires a degree in CS, EE, or related field, 2+ years of experience in performance, hardware architecture, or deep learning analysis, and familiarity with GPU computing. | — | 5 |
| System and Scheduling Architect – GPU NVIDIA is seeking a GPU system and process scheduling architect to design the next generation GPU system interface. This role involves understanding GPU sub-system interoperation, architecting features with cross-functional teams, creating performance models, and supporting post-silicon validation. The role requires experience in C/C++ and computer architecture, with knowledge of DL/ML being a plus. | — | 5 |
| Senior Software Engineer CUDA UMD - GPU Kernel Scheduling Senior Software Engineer to work on the CUDA Driver, a core component of NVIDIA's platform for accelerating general purpose computation on the GPU, focusing on GPU kernel scheduling for AI/ML workloads. | — | 5 |
| Senior Software SDET Test Development Engineer NVIDIA is seeking a Senior Software SDET Test Development Engineer to join their platform SWQA team. The role involves developing and executing test plans for NVIDIA HGX/DGX/MGX platforms, including servers, OS, FW, and CUDA SW stack. Responsibilities include installing and testing systems, driving root cause analysis for failures, building automation frameworks, and managing bug lifecycles. The ideal candidate will have extensive experience in OS and server-level automation, CI/CD, DevOps, and troubleshooting in Linux environments, with good knowledge of AI tools, NLP, and LLM benchmarking. | Ship | 5 |
| Senior Software QA Test Development Engineer - Diagnostics This role is for a Senior Software QA Test Development Engineer focused on diagnostics for NVIDIA's platform SWQA team. The responsibilities include developing and executing test plans for servers, OS, firmware, and CUDA SW stack, driving root cause analysis for failures, and building automation frameworks. The role requires experience in OS and server level automation, CI/CD, DevOps, and knowledge of AI tools/frameworks like TensorFlow, PyTorch, NLP, and LLM benchmarking. While the role involves testing AI-related components and using AI tools for testing, its core function is QA and test development, not direct AI model development or research. | — | 5 |
| Senior Software Development Engineer in Test - Datacenter Server OS Senior Software Development Engineer in Test for Datacenter Server OS at NVIDIA. Responsibilities include developing and executing test plans for NVIDIA HGX/DGX/MGX platforms, installing and testing OS/firmware/SW stacks, driving root cause analysis for failures, and building automation frameworks. Requires strong Linux, OS, and server-level automation experience, CI/CD, DevOps, and knowledge of AI tools/frameworks (TensorFlow, PyTorch), NLP, and LLM benchmarking. Experience with AI development tools for test automation is also required. | — | 5 |
| Senior SWQA Test Development Engineer Senior Software Quality Assurance (SQA) Test Development Engineer at NVIDIA, focusing on the quality of AI microservices and inference platforms. The role involves leading test strategy, building automation frameworks, and validating LLM inference workflows, with an emphasis on distributed systems and containerized AI environments. | Serve | 5 |
| Quality Assurance Software Developer in Test Engineer NVIDIA is seeking a Software Development Engineer in Test with 5+ years of programming experience in Python/C/C++ to design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs. The role involves building tools to accelerate testing workflows, ensuring software quality, and improving customer experience with GeForce NVIDIA products. | Ship | 5 |
| Senior Technical Program Manager, Software Compute Platform NVIDIA is seeking a Senior Technical Program Manager to lead the planning and execution of software programs for enterprise AI systems. This role focuses on end-to-end release management, ensuring timely and high-quality software delivery, coordinating across multiple teams, and improving release processes. The position involves collaborating with engineering, QA, and product management to define release objectives, manage schedules, and mitigate risks. The role also requires building automation scripts and dashboards to streamline release management. | — | 5 |
| Senior Software Development Engineer in Test - SDET Senior Software Development Engineer in Test (SDET) for NVIDIA's Enterprise SWQA team, focusing on automation development, test and validation infrastructure, and utilizing AI tools to solve complex issues. The role involves automating testbench workflows, developing scalable systems for GPU testing, and improving code coverage and testing processes. | — | 5 |
| Technical Product Marketing Manager - Healthcare and Life Sciences This role is for a Technical Product Marketing Manager focused on NVIDIA's healthcare robotics and simulation technologies. The primary responsibility is to drive awareness and adoption by developing technical positioning, value propositions, and market activation strategies. The role involves collaborating with engineering, product, and developer relations teams to create compelling content and enablement materials that showcase how NVIDIA's simulation integrates with AI workflows for healthcare solutions. The target audience includes device manufacturers, ISVs, robotics companies, and startups. | — | 5 |
| Senior Data Center Network Deployment Engineer NVIDIA is seeking a Senior Data Center Network Deployment Engineer to join their AI Infrastructure team. This role involves deploying, managing, and optimizing large-scale AI data center networks, including control, network, and storage stacks. The engineer will develop automation scripts, support R&D activities, and engage in POCs/POVs. The position requires strong networking fundamentals, proficiency in Windows/Linux networking, and experience with data center architecture, with a preference for knowledge of HPC and AI solution technologies. | — | 5 |
| Senior Solutions Architect, Networking This role focuses on deploying and managing large-scale AI Data Centers, specifically the networking infrastructure that supports AI/ML training and inference. The Solutions Architect will work with customers and internal teams to implement and troubleshoot networking solutions, educate on future-proofing, and drive proof-of-concepts. | — | 5 |
| Physical AI Technical Marketing Manager - OpenUSD Engineer Technical Marketing Manager for Physical AI, focusing on OpenUSD evangelism, adoption, and developer engagement. Responsibilities include leading technical marketing initiatives, developing educational programs, and driving strategy for USD specialists. Requires experience in technical marketing, USD development, and AI for productivity/coding, with a strong preference for hands-on OpenUSD/Omniverse/Isaac Sim experience and robotics simulation expertise. | — | 5 |
| Senior Software Engineer - Python Numerical Computing Libraries NVIDIA is seeking a Senior Software Engineer to contribute to the design and development of accelerated and distributed implementations of Python APIs for numerical computing. This role involves optimizing GPU-accelerated libraries that support frameworks like NumPy, SciPy, TensorFlow, and PyTorch, crucial for AI, data science, and HPC. The engineer will architect, develop, and analyze performance of these APIs on various architectures, and contribute to runtime systems for multi-GPU computing. | — | 5 |
| Account Manager, Manufacturing Enterprise Sales Account Manager with a proven track record in selling complex technology solutions to customers within the Manufacturing industry. This role requires driving revenue by working closely with NVIDIA solution architects and business development leaders. Understanding of NVIDIA's platform technologies including Generative AI/LLMs, AI/ML workloads is required. | — | 5 |
| ODM Business Operations Manager This role focuses on business operations and analytics for NVIDIA's Data Center organization, specifically managing partnerships with ODMs to build next-generation AI infrastructure. The role involves developing scalable processes, efficient operations, and data-driven insights for the AI supply chain, merging engineering, operations, and finance. | — | 5 |
| Senior Developer Technology Engineer, Public Sector Senior Developer Technology Engineer for the Public Sector team at NVIDIA. This role involves researching and developing techniques to GPU-accelerate leading applications in the federal ecosystem, including AI in HPC. The engineer will perform in-depth analysis and optimization for current and next-generation GPU architectures, collaborating with application developers and NVIDIA teams. | Serve | 5 |
| Senior Digital Design Verification Engineer - Hardware Senior Digital Design Verification Engineer at NVIDIA, focusing on SerDes IPs that enable AI, deep learning, and autonomous driving. Responsibilities include verifying digital designs, building verification infrastructure, and working with cross-functional teams using UVM and SystemVerilog. | — | 5 |
| Senior Technical Program Manager, Deep Learning Frameworks NVIDIA is seeking a Senior Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks. The role involves managing programs in a matrixed environment, coordinating with cross-functional teams (hardware, software, product, QA, compliance), and developing planning, reporting, and execution practices. The TPM will work with senior management to ensure alignment and exceptional execution, fostering collaborations between software, hardware, and infrastructure teams. Key responsibilities include guiding program management aspects, defining and implementing metrics, and standardizing processes for open-source contribution and release management within the Nvidia AI/ML ecosystem. | — | 5 |
| Global GSI Lead, Healthcare and Life Sciences Ecosystem This role focuses on incubating business within the Healthcare and Life Sciences ecosystem globally, primarily through Global System Integrators (GSIs), to accelerate AI adoption and drive growth. It involves leading joint solution development, go-to-market strategies, and driving revenue by championing NVIDIA's AI technology. | — | 5 |
| Senior CPU Performance Architect NVIDIA is seeking a Senior CPU Performance Architect to drive the development of CPU technology for architectures used in AI/DL, HPC, CSP, gaming, VR, and autonomous vehicles. The role involves workload bring-up, performance analysis, identifying bottlenecks, and collaborating with architects to improve future designs. The candidate will also benchmark NVIDIA's CPUs against competitors and suggest improvements. | — | 5 |
| Patent Counsel NVIDIA is seeking a Patent Counsel with a technical undergraduate degree and 6+ years of experience in patent preparation and prosecution. The role involves protecting NVIDIA's technology investments, instructing outside counsel, making strategic decisions for the patent portfolio, and collaborating on intellectual property matters. Experience in AI/ML patent prosecution is a plus. | — | 5 |
| Senior Technical Program Manager, ML Software Senior Technical Program Manager to lead software initiatives and develop Gen AI models for NVIDIA's AI researchers and engineers. The role involves guiding engineering programs using industry best practices, managing cross-company partners, planning, forecasting, scheduling, and reporting on program status. Requires strong program management expertise, experience with AI training environments, and knowledge of agile methodologies. | Data | 5 |
| Senior Technical Product Manager - Autonomous Vehicles Senior Technical Product Manager to lead the end-to-end delivery of new autonomous vehicle features for L3/L4 highway driving, from definition to launch. Requires defining product vision, roadmap execution, and driving alignment across teams. Experience with autonomous vehicles and ML is a plus. | — | 5 |
| Senior Developer Relations Manager, Brazil Senior Developer Relations Manager for NVIDIA in Brazil, focused on building strategic partnerships with enterprises, ISVs, and startups to drive the adoption and deployment of AI solutions powered by NVIDIA technologies. The role requires a strong technical foundation, business acumen, and deep understanding of the regional AI landscape, acting as a technical advisor and collaborator to guide customers through integration and co-innovation. | — | 5 |
| Ecosystem Developer Relationships Manager This role focuses on building and leading strategic partnerships within the ISV ecosystem to drive the adoption of NVIDIA's AI software offerings, particularly in the public sector across Southeast Asia. The individual will need to understand Gen AI workflows and LLM breakthroughs, foster co-innovation, identify adoption blockers, and drive early adoption of new NVIDIA software products. The goal is to accelerate sales cycles and GPU consumption by connecting partners with government opportunities. | — | 5 |
| Senior Solutions Architect, CSP System Senior Solutions Architect for NVIDIA's CSP team in China, focusing on CPU technologies to optimize AI data center performance and drive the adoption of NVIDIA's integrated CPU-GPU-DPU platforms. | — | 5 |
| Networking Solution Test Engineer - AI IB and Ethernet Cluster Debugging NVIDIA is seeking a Networking Solution Test Engineer to join their End-to-End Verification team. The role involves working on cutting-edge Ethernet-based AI clusters, debugging complex issues across hardware, system software, and AI workloads. Responsibilities include designing test requirements, building testbeds, owning end-to-end cluster troubleshooting, collaborating with development teams on networking components, defining tests for automation, running regression and performance tests, and profiling deep learning workloads. | Serve | 5 |
| Senior Data Engineer Senior Data Engineer at NVIDIA to lead data-driven decision-making and shape next-gen Data Center monitoring, analytics, and management platforms. Owns large-scale telemetry and analytics pipelines end-to-end, focusing on data quality, scalability, and architectural excellence. Partners with product and infrastructure teams, and co-designs analytics and ML-ready architectures with data scientists. | Data | 5 |
| RTL Power Optimization – New College Grad 2026 NVIDIA is seeking a New College Grad for RTL Power Optimization, focusing on AI-based solutions for GPU and networking chips. The role involves using AI/ML techniques to optimize power efficiency in hardware design, collaborating with various engineering teams, and analyzing power data. Requires coursework/experience in AI/ML, digital design, VLSI, and Python programming. | — | 5 |
| Senior Director, NVIDIA AI Inference Sales Senior Director role focused on orchestrating NVIDIA AI software Go-To-Market strategy and co-sales with partners, driving adoption of NVIDIA's platform (hardware and software) for enterprise AI inference. Responsibilities include defining and implementing GTM strategy, engaging strategic partners (ISVs, Inference Service Providers, OEMs, SIs), developing enablement materials, influencing product roadmaps, and leading pipeline/revenue growth calls. | — | 5 |
| Senior System Software Engineer, Deep Learning Accelerator NVIDIA is seeking a Senior System Software Engineer to develop and maintain system software drivers for their Deep Learning Accelerator (DLA/NPU) hardware. The role involves working on user mode drivers, kernel mode drivers, firmware, and the DLA compiler toolchain. While familiarity with deep learning is desired, the core focus is on low-level system software and hardware acceleration. | — | 5 |
| Senior Product Manager, Kubernetes AI Platform and Operational Tools Product Manager for NVIDIA's Kubernetes AI Platform and Operational Tools, focusing on scaling GPU clusters for AI workloads, developing platform technologies, and bringing innovations to market as open-source projects. | — | 5 |
| Senior Software Engineer - Deep Learning Compiler Verification and Infrastructure Senior Software Engineer focused on building and scaling CI/CD infrastructure and automation for deep learning compilers at NVIDIA. The role involves improving reliability, performance, and observability of ML workloads across diverse GPU environments, with an emphasis on practical AI applications to enhance CI processes. | Serve | 5 |
| Technical Marketing Engineer - AI Platform Software Technical Marketing Engineer role focused on creating content and empowering developers using NVIDIA's AI platform software, specifically for deep learning training and inference. The role involves collaborating with engineers, building training materials, improving documentation, and providing code guidelines. | — | 5 |
| Product Marketing Manager - AI Platform Software Product Marketing Manager for NVIDIA's AI Platform Software team, focusing on go-to-market strategies and marketing materials for AI frameworks like PyTorch, JAX, and TensorRT LLM. Requires a blend of technical expertise in deep learning software and marketing skills to engage with developers and build awareness. | — | 5 |
| Deep Learning Kernel Software Performance Architect This role focuses on optimizing GPU kernel performance for deep learning workloads by building automated, data-driven workflows to detect, explain, and prevent performance regressions. The engineer will be responsible for performance analysis, debugging, and developing Python-based automation for performance testing and analysis, collaborating with various engineering teams. | — | 5 |
| Software QA Test and Tools Developer – Automotive Platform Software QA Test and Tool Developer for NVIDIA's Automotive Platform team, focusing on validating and ensuring the safety and reliability of intelligent vehicles. The role involves designing, executing, and automating test cases, architecting a distributed test automation framework, and developing test libraries. A key aspect is understanding and evaluating AI-generated outputs, including LLM failure modes, and potentially deploying prompt engineering or LLM-based agents in CI/CD pipelines. | Agent | 5 |
| Senior SoC Architect, RAS Analysis and Diagnostics Senior SoC Architect role focused on designing and implementing diagnostic testing for Reliability, Availability, Serviceability (RAS) in NVIDIA's Tegra System-on-Chips (SoCs) for datacenters and autonomous vehicles. The role involves developing methods to detect hardware failures, creating tests, assisting in failure analysis, and supporting post-silicon validation and documentation. While the company and its products are heavily involved in AI, this specific role focuses on the underlying hardware architecture and diagnostics rather than direct AI/ML model development. | — | 5 |
| Field Applications Engineer, Embedded Systems - NALA Field Applications Engineer to support customers using NVIDIA's Jetson platform for embedded industrial use-cases, focusing on edge AI inference software and embedded systems development. Responsibilities include customer technical engagement, advising on system architectures, and troubleshooting issues. | Serve | 5 |