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.
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 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 |
|---|---|---|
| Principal DRAM Architect – GPU Memory Solutions This role focuses on architecting and delivering next-generation DRAM memory solutions for AI and graphics accelerators, involving I/O design, advanced packaging, and influencing global memory standards. It requires deep expertise in HBM and collaboration across various engineering domains. | — | 5 |
| Senior Post Silicon Validation Engineer - LPU This role is for a Senior Post Silicon Validation Engineer at NVIDIA, focusing on the validation of complex System Level Tests (SLT) for High Volume Manufacturing (HVM) of SoCs, GPUs, and ASICs. The role involves leading design, automation, and validation efforts, partnering with various engineering teams, and optimizing test solutions for performance, power efficiency, and coverage. While the company heavily utilizes AI and its products are central to AI advancements, this specific role is in hardware validation and engineering, not directly building or researching AI models. | — | 5 |
| — |
| 5 |
| Systems Quality and Reliability Lead - LPU This role focuses on the quality and reliability of NVIDIA's AI/ML products, specifically managing RMA and Failure Analysis (FA) debug and root-cause analysis. The engineer will analyze field data, identify trends, create reports, and oversee hardware quality performance and operational performance of FA at manufacturing partners. While the role is within an AI company and deals with AI/ML products, the core function is systems quality and reliability engineering, not direct AI/ML model development or deployment. | — | 5 |
| Strategic Account Manager - CSP Strategic Account Manager to drive adoption and revenue of NVIDIA's accelerated computing platforms, including Generative AI and ML workloads, with a major Cloud Service Provider (CSP). | — | 5 |
| Senior Technical Program Manager, Data Platform Senior Technical Program Manager to lead the strategy and evolution of NVIDIA's internal data platform ecosystem, supporting analytics, machine learning, and business intelligence for silicon development. The role involves defining strategy, aligning stakeholders, and ensuring execution at scale for data infrastructure programs. | — | 5 |
| GPU Firmware Infrastructure Engineer NVIDIA is seeking a GPU Firmware Infrastructure Engineer to design and develop tools and infrastructure for GPU firmware. The role involves improving software processes, enhancing build systems, designing solutions for the GPU lifecycle, and inventing AI-powered workflows to boost team output. The position requires strong Python and embedded programming skills, automation experience, and a solid understanding of CI/CD and distributed services. Experience with AI-assisted development tools is a plus. | — | 5 |
| Senior System Software Engineer - Metropolis Senior System Software Engineer role focused on full-stack development of microservices for NVIDIA's Metropolis team. The role involves designing and implementing front-end interfaces, back-end services, and cloud-native applications using containers and orchestration. Key responsibilities include building high-performance, low-latency systems, real-time features, streaming pipelines, and event-driven architectures. Collaboration with AI/ML teams is expected, along with troubleshooting, performance optimization, and CI/CD implementation. Requires strong full-stack development experience, backend proficiency in Node.js or Python, and understanding of cloud fundamentals, Docker, and Kubernetes. | — | 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 VLSI CAD Engineer Senior VLSI CAD Engineer at NVIDIA focused on building and maintaining foundational tools and flows for custom RAM design, enabling faster and more innovative circuit design. The role involves integrating EDA tools, managing release processes, and ensuring seamless integration into Place-and-Route flows, with a direct impact on NVIDIA's advanced products. | — | 5 |
| Senior Software Engineer - Drive OS Senior Software Engineer role focused on automating build, test, integration, and release processes for NVIDIA DRIVE OS. The role involves configuring DevOps tools, developing shared utilities, and prototyping AI-driven developer tools like LLM-assisted documentation analysis and intelligent agents for dependency management. | Agent | 5 |
| Senior Developer Relations Manager - AI Security This role is for a Senior Developer Relations Manager focused on AI Security and Agentic environments. The candidate will act as a technical advisor to security companies, guiding them on using NVIDIA's software stacks to secure AI and agentic workloads. Responsibilities include fostering co-innovation, mapping the developer ecosystem, and representing partner technical needs internally. Requires significant technical proficiency in AI/ML and security, with experience in developer programs and technical collaborations. | — | 5 |
| Senior Network Solution Architect – AI Fabrics This role focuses on architecting and deploying NVIDIA's AI networking platforms (e.g., Spectrum-X, BlueField DPU, InfiniBand/RoCE) in customer data centers, ensuring the performance and reliability of AI clusters. It involves deep technical expertise in networking protocols, system software, and hardware integration, with a strong emphasis on troubleshooting and customer-facing support. | — | 5 |
| Senior Sales Account Manager - Omniverse Senior Sales Account Manager for NVIDIA's Omniverse and GPU solutions, focusing on driving revenue growth by connecting digital twins and simulation with real-world deployment through Physical AI. The role involves engaging with customers and partners, developing sales strategies, and communicating NVIDIA's technology impact in segments like Advanced Computer Graphics, VR/AR, AI, Deep Learning, robotics, and autonomous systems. | — | 5 |
| Senior Technical Program Manager - Automotive Vehicles Senior Technical Program Manager to lead large-scale testing and mass production of L2P/L2PP/Parking autonomous driving features for Japan, South Korea, and EU markets. Role involves managing test schedules, analyzing data, collaborating with cross-functional teams, and ensuring software release readiness and on-time delivery. Requires experience in automotive engineering, AD/ADAS test management, and proven experience in autonomous driving mass production. | — | 5 |
| System Software Engineer, Platform Operations NVIDIA is seeking an operationally-focused System Software Engineer to ensure the stability, reliability, and flawless execution of all NVIDIA Deep Learning Institute (DLI) training events and oversee the broader day-to-day operational health of the entire learning platform. The role involves developing operational plans, providing technical leadership during live events, overseeing platform stability and reliability using SRE principles, and leading cross-functional coordination. | — | 5 |
| System Software Engineer, Neural Graphics SDKs System Software Engineer to develop and maintain NVIDIA's software ecosystem for neural graphics, including OSS platforms like GSplat, enabling developers in robotics, healthcare, and AV to build better models faster. | Serve | 5 |
| Senior System Software Engineer - Neural Graphics SDKs Senior System Software Engineer to develop and maintain NVIDIA's software ecosystem for neural graphics, including key OSS platforms like GSplat. The role involves implementing, validating, releasing, and maintaining SDKs, APIs, and libraries for Neural Reconstruction, influencing software architecture, validation strategy, and technical roadmaps. Experience with Python, C++, distributed systems, and GPU acceleration is required. | Serve | 5 |
| Senior Performance and Manufacturability Architect This role focuses on architecting system and silicon features to optimize power, performance, thermal efficiency, and manufacturability for GPUs and SoCs. It involves co-designing chip, system, and package features to enhance testability, yield, and manufacturing processes. The role leverages AI tools to accelerate engineering tasks while maintaining rigorous engineering judgment and operates across the full lifecycle from system architecture to post-silicon success. | — | 5 |
| Senior CPU Workloads and Simulation Architect This role focuses on researching, architecting, implementing, and evaluating mechanisms for capturing and studying complex applications for CPU architectural and microarchitectural analysis in simulation. It involves developing tools for trace analysis and replay, and contributing to functional and performance models of ARM-based systems, with a goal to support growth in AI, deep learning, HPC, gaming, VR, and autonomous vehicles. | — | 5 |
| Senior Technical Program Manager, Deep Learning Software Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA’s most advanced AI researchers and engineers. This leader will guide engineering programs using the best industry processes well suited to our fast pace and rapidly expanding roadmap. | — | 5 |
| Senior Product Manager - Hardware Infrastructure Senior Product Manager for NVIDIA's SOC Hardware Infrastructure team, focusing on strategy and evolution of internal tools for ASIC HW development. The role involves driving platform expansion, integrating infrastructure tools, optimizing workflows, and accelerating chip design using AI solutions. It requires defining product vision, roadmaps, and establishing metrics to improve developer productivity and system performance. | — | 5 |
| Manager, Solutions Architecture – GPU and Networking Systems Manager for Solutions Architecture team focused on GPU and networking systems for AI deployments. Responsibilities include leading a team, providing technical expertise, guiding architecture discussions, collecting customer requirements, and influencing product roadmaps. Requires strong systems-level expertise in server architecture, data center networking, and leadership experience. | — | 5 |
| Senior Customer Program Manager – NVIDIA Cloud Partners Senior Customer Program Manager at NVIDIA to support planning and execution of technical and operational programs for key partners and maintain strong customer relationships. Role involves driving collaboration with enterprise customers, cloud service providers, and Tier-1 partners, translating customer requirements into actionable tasks for engineering, operations, and product teams, and acting as the primary customer and partner interface. | — | 5 |
| Technical Program Manager - AI Labs NVIDIA is seeking a Technical Program Manager (TPM) to facilitate operations between AI Labs, internal teams, and external partners, focusing on building the operational engine for efficient AI Lab functioning. The role involves leading technical engagements, streamlining communication, and managing progress tracking, feedback loops, and cross-functional alignment. Key responsibilities include designing engagement frameworks, building the 'operating system' for collaboration, implementing tracking systems, overseeing product integration, and providing executive reporting. The role requires extensive program management experience, familiarity with the AI/ML lifecycle, and strong communication skills, operating within a rapidly expanding Generative AI business focused on large model development. | — | 5 |
| Senior Silicon and System Product Lead NVIDIA is seeking a Senior Silicon and System Product Lead to drive the development and market launch of next-generation products, integrating silicon, software, and operations across various market segments including DL/AI. The role involves defining product targets, evaluating market needs, optimizing performance and power, and collaborating with cross-functional teams from architecture to production. | — | 5 |
| Senior Silicon and System Product Lead This role is for a Senior Silicon and System Product Lead at NVIDIA, responsible for defining, developing, and delivering next-generation products that integrate silicon, software, and operations across various market segments including DL/AI. The role involves market analysis, translating requirements to engineering, optimizing performance and power, and driving features to production. While AI is a key market segment, the role itself is product management focused on hardware and system integration, not direct AI/ML model development. | — | 5 |
| Senior Product Definition Engineer NVIDIA is seeking a Senior Product Definition Engineer to productize the company's chips across various markets, including consumer, professional, server, mobile, and automotive. The role involves evaluating performance, power, yield, and quality optimizations for GPUs and SOCs, identifying constraints, driving product customizations, and collaborating with multi-functional teams to bring industry-defining products to market. Experience in product performance and power evaluations, system-level features, silicon bringup, and validation is required. | — | 5 |
| Senior DevOps Engineer, AIOPs NVIDIA is seeking a Senior DevOps Engineer to operate an AI Data Center AIOps platform, focusing on reliability, performance, and automation for GPU fleets. The role involves monitoring, incident response, Kubernetes deployments, and building runbooks/SOPs. Requires experience in operating production distributed systems, ownership of observability platforms, and strong Kubernetes and automation skills. | — | 5 |
| Senior Manager, PR - AI Industries This role is for a Senior Manager of Public Relations focused on AI Industries at NVIDIA. The primary responsibility is to lead communications strategy and execution to highlight how various industries are adopting AI to transform their businesses. This involves collaborating with stakeholders, developing compelling stories, engaging with media, and nurturing media relationships. While the company and its products are AI-centric, the role itself is in PR and communications, not directly building or researching AI models or systems. | — | 5 |
| Senior Staff Software Engineer Senior Staff Software Engineer role focused on building and developing GPU-accelerated platforms and software systems for large-scale AI workloads, including transforming legacy databases and running low-latency vector/graph database services. | ServeAgent | 5 |
| Senior Software Development Engineer in Test - SDET Senior Software Development Engineer in Test (SDET) at NVIDIA, responsible for test planning, execution, automation, and bug lifecycle management. The role requires experience with AI development tools, model testing, and LLM benchmarking, with a focus on ensuring product quality. | Eval Gate | 5 |
| Senior DFX Infrastructure Engineer This role focuses on building and developing internal infrastructure tools for ATE test vector release and fail analysis/diagnosis flows, supporting silicon bringup and FA teams. It requires strong scripting skills (Perl, Python) and experience with ATE knowledge, particularly Advantest 93k. While NVIDIA is an AI company and uses AI tools, this specific role is about developing infrastructure for hardware testing, not directly building or researching AI models. | — | 5 |
| Solutions Architect, Data Processing - New College Grad 2026 This role focuses on researching and developing techniques to GPU-accelerate high-performance database, ETL, and data analytics applications. The goal is to optimize the performance of data-intensive workloads on modern computer architectures, influencing the design of next-generation hardware and software. While the company uses AI, this specific role is about optimizing data processing for AI/ML applications rather than directly building AI models. | — | 5 |
| Senior Solutions Architect, IPP This role is for a Senior Solutions Architect within NVIDIA's IPP Cloud Infrastructure Team, focusing on optimizing software development workflows and CI/CD systems for internal NVIDIA teams. The role involves architecting, implementing, and supporting cloud infrastructure, with a focus on AI development and testing systems. While the role interacts with AI development, its core function is infrastructure and CI/CD, not direct AI/ML model development. | — | 5 |
| Account Manager – Manufacturing Industry and Physical AI Account Manager for Manufacturing Industry and Physical AI in Korea, responsible for developing sales strategies, driving revenue, and building relationships with enterprise clients. Focuses on AI factories, agentic AI, and physical AI solutions within the manufacturing sector. | — | 5 |
| Senior Infrastructure Software Engineer, Deep Learning Libraries Senior Software Engineer to build and maintain scalable infrastructure for NVIDIA's deep learning libraries (cuDNN, TensorRT, CUDA), focusing on build, test, integration, and release automation across diverse platforms. | — | 5 |
| Director, Developer Relations - Gaming Ecosystem This Director of Developer Relations role focuses on engaging developer ecosystems in the gaming industry, specifically championing the adoption of NVIDIA platforms and connecting AI technologies with gaming. The role involves technical advisory, business development, representing NVIDIA at events, and influencing product roadmaps based on field insights. While AI is mentioned as a technology to connect with gaming, the core function is developer relations and product advocacy, not direct AI/ML model development or research. | — | 5 |
| Senior Solution Engineer, Networking Senior Solution Engineer specializing in NVIDIA's networking technology for AI clusters. This role involves deep code analysis, in-field production network operations, and close collaboration with customer engineering and R&D teams to resolve complex issues. Responsibilities include reproducing and root-causing customer problems, developing bug fixes and workarounds, triaging critical issues with customers, becoming an authority on Spectrum-X networking, and developing support tools. The role also involves using AI tools for software development and debugging, and spending time within R&D teams on core software development. | — | 5 |
| Software Advanced Development Engineer Software engineer to develop new networking technologies for AI factories and data centers, working across all software layers from application to firmware, utilizing NVIDIA hardware. Focus on high-performance computing and distributed systems. | Serve | 5 |
| Senior Strategic Alliance Manager, AI for Chemistry and Material Science - HER This role focuses on building strategic alliances and fostering adoption of NVIDIA's AI platform within academic and research communities specializing in AI for Chemistry and Material Science. The individual will engage with researchers, define partnership strategies, lead collaborations, and advise NVIDIA's product teams. | — | 5 |
| Senior Technical Marketing Engineer - EDA and Semiconductor Senior Technical Marketing Engineer at NVIDIA focused on EDA and Semiconductor domain. The role involves creating technical content, benchmarking EDA workflows on NVIDIA platforms, and enabling developers and researchers. Requires experience in software development, technical evangelism, EDA/Semiconductor workflows, and knowledge of AI/ML techniques and parallel programming. | — | 5 |
| Test Development Engineer - DataCenter System Software NVIDIA is seeking a Test Development Engineer in Taipei, Taiwan, to design, develop, and maintain automated test frameworks and pipelines for server firmware and software. The role involves implementing end-to-end test automation, collaborating with cross-functional teams, supporting factory test processes, analyzing test results, and contributing to continuous improvement of testing strategies. The candidate should have 5+ years of experience in test development or firmware development, strong knowledge of server hardware and firmware, and experience with AI coding tools and applying AI/ML to optimize test automation. | — | 5 |
| SWQA Development Engineer Software QA Development Engineer at NVIDIA responsible for test planning, execution, and reporting, including script automation, tool development, and integration testing to improve productivity and optimize test plans. Focuses on identifying weak spots and designing creative test plans to ensure product quality. | Eval Gate | 5 |
| Senior Developer Relations Manager – Capital Markets NVIDIA is looking for a Senior Developer Relations Manager to focus on the capital markets ecosystem in EMEA. The role involves working with financial professionals to promote NVIDIA's AI-first solutions, providing technical guidance, and gathering feedback to influence product roadmaps. The ideal candidate has deep technical expertise, commercial go-to-market experience, and a passion for developer advocacy. | — | 5 |
| Senior Developer Relations Manager - Telecommunications Senior Developer Relations Manager for NVIDIA, focusing on engaging developer ecosystems in the telecom domain to drive adoption of NVIDIA's AI and computing platforms. Requires deep technical expertise, commercial go-to-market experience, and passion for developer advocacy. | — | 5 |
| DGX NPI System Product Development Engineer NVIDIA is seeking a System Product Development Engineer to lead the development and productization of DGX datacenter products and L11 systems through mass production ramp. The role involves driving debug efforts, providing guidance to factories, developing production recipes, and collaborating with cross-functional teams to ensure designs are optimized for manufacturing. The position requires expertise in server platform architecture, system-level debug, BMC, and firmware, with a strong emphasis on manufacturing quality and efficiency. | — | 5 |
| Principal Services Program Manager This role is for a Principal Services Program Manager at NVIDIA, focusing on leading end-to-end lifecycle management of complex AI infrastructure programs. The responsibilities include defining hardware and software requirements, ensuring field serviceability, driving Design for Serviceability (DfS) initiatives, managing New Product Introduction (NPI) readiness, and collaborating cross-functionally to define operational support models for new service business offerings. The role operates globally, supporting regional operations and engaging with hyperscale customers. While the role involves AI infrastructure, the core function is program management and service operations, not direct AI/ML model development or research. | — | 5 |
| Senior Solutions Architect, AI Infrastructure This role focuses on deploying and integrating NVIDIA's AI hardware and software solutions in customer data centers, acting as a Solutions Architect & Engineer. It involves guiding customers on system deployments, providing technical advice, identifying new project opportunities, and debugging performance issues related to GPU and network systems. | Serve | 5 |
| Senior Formal Verification Engineer - LPU Senior Formal Verification Engineer at NVIDIA focusing on verifying AI-related ASIC builds and features using advanced formal verification methods. Requires expertise in SystemVerilog Assertions (SVA), formal property verification, and experience with formal verification tools. The role involves collaborating with architecture and RTL teams, developing verification environments, and supporting silicon bring-up. While the role uses AI tools and verifies AI-related hardware, the core craft is formal verification of ASICs, not direct AI/ML model development. | — | 5 |