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 System Software Engineer - DFX Software Senior Systems Software Engineer at NVIDIA focused on DFX (Design for Test) Software. The role involves developing methodologies, software, and flows for silicon device testing, debug, and failure analysis. A key aspect is enabling AI applications to optimize software and workflows, integrating advanced CI/CD and testing tools, and solving software engineering challenges related to code generation and developer workflows. Requires strong C++ and Python skills, with experience in AI code generation, tooling, and deep learning applications. | Ship | 5 |
| Product Manager, AI Partner Solutions and OEM Ecosystem Product Manager to lead solution architecture and engagement with ISV and OEM partners for on-premise AI Factory solutions, defining technical blueprints and guiding the roadmap. | — |
| 5 |
| Senior Account Manager, Hyperscale and AI Natives Senior Account Manager at NVIDIA focused on AI Native clients, responsible for strategy, sales, and revenue growth. Requires experience selling solutions to senior executives and understanding the AI industry. | — | 5 |
| Senior Compiler Engineer NVIDIA is seeking a Senior Compiler Engineer to design, develop, and improve the GNU Toolchain for NVIDIA's CPUs, which are critical for AI and HPC workloads. The role involves contributing new features and optimizations, working with open-source communities, and collaborating on next-generation CPU micro-architectures. | — | 5 |
| GSI Client Manager Client Director for Global System Integrators (GSI) in EMEA, responsible for leading the business relationship with a key GSI. The role involves driving strategy, devising enablement plans for developers on GPU accelerated computing, acting as a bridge between GSIs and NVIDIA Solution Architects for PoCs and RFQs, defining business goals, and working on joint go-to-market plans. | — | 5 |
| Senior Product Manager, STX Senior Product Manager for NVIDIA DGX Platforms, focusing on accelerated computing, storage, and system design at the hardware-software boundary. The role involves defining product requirements, developing roadmaps, and collaborating with partners and engineering teams to bring new solutions to market. Requires deep understanding of system designs, accelerated compute, and familiarity with Generative AI technologies. | — | 5 |
| General Account Software Sales Specialist NVIDIA is seeking a General Account Software Sales Specialist to drive software revenue growth for their Accelerated Datacenter solutions in EMEA. The role involves developing customer relationships, co-selling with partners, and communicating NVIDIA's technology impact in AI/ML and infrastructure segments. Requires experience in high-tech sales, AI knowledge, and familiarity with NVIDIA's AI platform. | — | 5 |
| Senior Developer Relations Manager - EMEA AI Natives Seeking a Senior Developer Relations Manager to engage with EMEA AI Natives developer ecosystems, fostering adoption of NVIDIA's AI and computing platforms. Role involves technical advisory, demonstrating solutions, guiding partners, and collaborating with internal teams to drive adoption and influence roadmaps. | — | 5 |
| CPU Performance Developer Technology Engineer NVIDIA is looking for a CPU Optimization Engineer to research, design, and implement performance optimization strategies for workloads including AI data preprocessing, scientific, and HPC applications on NVIDIA Grace/Vera CPUs. The role involves collaborating with developers, profiling and optimizing CPU performance, contributing to open-source frameworks, and influencing future CPU and software architecture. Requires 5+ years of experience in performance engineering or CPU optimization, strong C/C++/Python skills, and a deep understanding of CPU microarchitecture. | — | 5 |
| Manager, Software Tools Development Manager for Software Test and Tools Development at NVIDIA, focusing on creating automated tests and tools for GPU software and SDKs. The role involves leading a team, defining test strategies, and implementing automation using Python & C#, with exposure to AI/ML and Agentic AI for workflow optimization. | — | 5 |
| Robotics Business Development Manager - Humanoid Business Development Manager for NVIDIA's humanoid robotics computer business, focusing on driving adoption, building partnerships, and increasing market share. Requires experience in Robotics, AI, and Humanoids, with knowledge of foundation model training, simulation, RL learning, locomotion, and manipulation. | — | 5 |
| Senior Manager, Regional Developer Relations NVIDIA is seeking a Senior Manager, Regional Developer Relations to lead developer ecosystem engagement in Japan. This role involves partnering with ISVs, startups, research institutions, and enterprises to accelerate the adoption of NVIDIA's AI platforms and technologies. The candidate will act as a trusted advisor, guide partners through integrations, enable innovation, and inspire developers to build on NVIDIA's technologies. Responsibilities include cultivating technical expertise in key AI sectors, architecting and integrating NVIDIA's software stack, guiding partners through onboarding, analyzing the developer ecosystem, engaging senior technical leaders, and enabling the developer community through workshops and events. | — | 5 |
| Account Manager – Automotive Industry in Korea Account Manager for NVIDIA's Automotive Industry in Korea, focusing on business development and sales of AI-driven solutions including generative AI, autonomous driving, digital twins, and robotics. | — | 5 |
| Life Sciences R&D Product Marketing Manager – Healthcare and Life Sciences Product Marketing Manager for NVIDIA's Healthcare and Life Sciences division, focusing on AI agents for experiment design, robotics for implementation, and data platforms for model training. The role involves developing go-to-market strategies, messaging, and content to drive awareness and adoption of NVIDIA's AI and accelerated computing solutions in drug discovery and therapy production. | — | 5 |
| Solutions Architect, Networking Ethernet This role focuses on building and operating networking infrastructure for AI/HPC systems, supporting operational aspects, and engaging in the full lifecycle of services. It requires strong networking fundamentals, automation skills, and experience with large-scale deployments. | — | 5 |
| Senior Hardware Validation Methodology Engineer NVIDIA is looking for a Senior Hardware Validation Methodology Engineer to define and own the methodology for validation platforms, ensuring compatibility and driving alignment between silicon validation and platform design teams. The role involves creating requirements, maintaining documentation, and collaborating with cross-functional teams across various programs. | — | 5 |
| Senior System Validation Methodology Engineer NVIDIA is looking for a Senior System Validation Methodology Engineer to develop and lead silicon validation methodologies, debug complex system-level issues, and drive automation. The role involves working with HW and SW teams, bringing up new flows on pre-silicon platforms, and applying AI to semiconductor co-design and validation problems. | — | 5 |
| Senior Software R&D Engineer, VLSI Physical Design Senior R&D Software Engineer to develop internal EDA tools by fusing advances in parallel computing, machine learning, and specialized algorithms for VLSI design, aiming to optimize chip frequency and minimize power consumption. The role involves inventing new optimization engines, improving algorithms in C++, and owning the process from discovery to deployment within design teams. | — | 5 |
| GPU Architecture Engineer - New College Grad 2026 NVIDIA is seeking a GPU Architecture Engineer to contribute to advancing GPU architecture simulators, testing infrastructure, and metrics. The role involves modeling future GPU features in C++ and Python, developing test plans, and debugging tests on simulators. This is a new college grad position focused on the foundational aspects of GPU architecture, which are critical for AI development but not directly building AI models. | — | 5 |
| Senior Software R&D Engineer, VLSI Physical Design Senior Software R&D Engineer specializing in VLSI Physical Design, focusing on algorithms for placement, global routing, floorplanning, and optimizing physical design. The role involves creating innovative algorithms for computational geometry, placement, and fast routing, and developing machine learning strategies to improve design space exploration efficiency. The software and tools created will impact the delivery of next-generation AI chips. | — | 5 |
| EDA Methodology Architect This role focuses on defining and owning the RTL2GDS flow for advanced node designs, involving optimization of EDA tools by integrating parallel computing, machine learning, and specialized algorithms. The architect will work with P&R engine developers, define next-gen flows, design experiments, and use ML/GenAI techniques for data analysis and automation. While the core role is in physical design and EDA methodology, there's a strong emphasis on applying AI/ML to enhance these processes, making it AI-adjacent. | — | 5 |
| Product Marketing Manager, NVIDIA NIM Product Marketing Manager for NVIDIA NIM, focusing on enterprise AI deployment. Responsibilities include launch plans, messaging, content creation, and co-marketing with partners. Requires strong technical and communication skills, with experience in product marketing or management in tech. | — | 5 |
| Senior Developer Relations Manager, Edge AI and Functional Safety Senior Developer Relations Manager for Edge AI and Functional Safety, focusing on NVIDIA Jetson and IGX platforms. The role involves engaging with OEMs and developers, providing architectural guidance, advising on functional safety standards, creating enablement materials, and influencing product roadmaps for industrial, healthcare, and robotics markets. | Serve | 5 |
| Senior Software Quality Assurance Engineer Senior QA Engineer role focused on testing NVIDIA's Workstation and Virtualization products. Responsibilities include reproducing customer-reported issues, performing root cause analysis, validating fixes, and developing Python, C#, and C++ scripts and diagnostic tools. The role also involves building AI-driven tools to improve workflow efficiency and experience with Generative AI platforms/LLMs is a plus. | — | 5 |
| Advanced Development Engineer, GPU Networking NVIDIA is seeking an Advanced Development Engineer for its GPU Networking Architecture team. The role involves driving advanced development and proof-of-concept efforts for AI infrastructure solutions within cutting-edge AI networks, integrating software and hardware. The engineer will collaborate with experts in distributed AI, deep learning, networking, virtualization, and storage, and demonstrate architectural concepts within larger NVIDIA AI software stacks. The position requires a B.Sc. in Computer Science or Engineering, proficiency in C/C++ on Linux, experience with virtualization and networking, and at least 1 year of software engineering experience. Familiarity with gen-AI coding tools is also mentioned. | — | 5 |
| Senior Solutions Architect - CRISP System Senior Solutions Architect role at NVIDIA, focusing on pre-sales technical support for CRISP customers. The role involves introducing NVIDIA's AI hardware and software technologies, providing technical expertise, driving end-to-end solutions, and building customer relationships. Requires experience in deep learning/AI, AI system design, and familiarity with GPU/AI accelerators. | — | 5 |
| Senior Business Systems Analyst, SAP IBP Demand Planning This role focuses on designing, implementing, and supporting demand planning solutions using SAP IBP, incorporating statistical forecasting, machine learning, and demand sensing to improve forecast accuracy. It involves configuring planning models, integrating systems, and analyzing demand performance, with a secondary use of Generative AI insights via SAP Joule. | — | 5 |
| Senior Manager, SaaS Apps and Governance Senior Manager to lead a team driving enterprise strategy, architecture, and execution for collaboration, SaaS Apps (including Gen AI), and work management platforms. Focus on scaling platforms, defining workflows, governance, and automation for secure and scalable AI integration. | Agent | 5 |
| Developer Relations Manager, Mexico NVIDIA is seeking a Developer Relations Manager in Mexico to build and manage strategic partnerships with enterprises, ISVs, and startups, helping them deploy AI solutions powered by NVIDIA technologies. The role involves serving as a technical advisor, guiding customers through integration, fostering co-innovation, and representing partner needs to internal teams. Requires 5+ years of tech experience, including 3+ years in AI/GenAI, and strong interpersonal skills. | — | 5 |
| Senior Account Manager, Higher Education and Research NVIDIA is seeking a Senior Account Manager to partner with Principal Investigators at top research institutions, focusing on accelerating scientific breakthroughs using NVIDIA's accelerated computing platform. The role involves engaging with university partners, driving business growth, fostering research community connections, and enabling adoption of NVIDIA's technologies across diverse scientific domains. Requires 12+ years of science-related experience and a strong understanding of research universities. | — | 5 |
| Senior Developer Relations Manager, Canada NVIDIA is seeking a Senior Developer Relations Manager in Canada to build and manage strategic partnerships with enterprises, ISVs, and startups, helping them deploy AI solutions using NVIDIA technologies. The role requires a strong technical foundation, business insights, and understanding of the regional AI landscape. | — | 5 |
| Senior Software Manager, AI Networking Senior Manager for AI Networking group at NVIDIA, leading a customer-focused engineering team. Responsibilities include people leadership, technical guidance on networking technologies (BlueField, ConnectX, Spectrum-X, DOCA, RDMA, RoCE, InfiniBand), supporting customer deployments of AI systems, translating field requirements into product improvements, and building team capability. The role emphasizes scaling impact through others and operational excellence. | — | 5 |
| Developer Relations Manager, Metropolis - Physical AI NVIDIA is seeking a Developer Relations Manager for their Metropolis - Physical AI team. This role focuses on accelerating the adoption of AI-powered systems in physical environments like cities, manufacturing, and warehouses by building relationships with ISVs and partners, providing technical guidance, and collaborating with internal teams. The role requires strong technical background in AI (training, simulation, inferencing, video analytics, VLM models) and experience in developer relations or technical evangelism. | — | 5 |
| Developer Relations Manager, Cloud Service Provider Developer Relations Manager focused on technical engagement with CSP AI engineering teams to accelerate adoption of NVIDIA software and platforms. Responsibilities include hands-on guidance, technical support, developing reference implementations, leading performance investigations, building engagement plans, creating technical content, and capturing feedback to influence product roadmaps. Requires a strong software engineering background with experience in AI software stacks and services, particularly in areas like model serving, training, and inference optimizations. | — | 5 |
| Hardware Systems Application Engineer - CSP This role focuses on deploying and optimizing NVIDIA's AI-centric hardware platforms (like Grace-Blackwell) within Cloud Service Providers' data centers. The engineer will act as a primary point of contact, collaborating with customers and internal teams to solve complex hardware and software system issues, and contribute to future data center architectures. While the role is in AI data centers, the core responsibilities are hardware systems engineering and deployment, not direct AI/ML model development. | — | 5 |
| Senior HPC Storage Engineer NVIDIA is seeking a Senior HPC Storage Engineer to lead research, design, and implementation of fast storage solutions for high-performance computing and computationally intensive workloads. The role involves identifying architectural changes for file, block, and object storage, developing automation tooling, and collaborating with teams to understand developer workflows and infrastructure requirements. The position also supports researchers by optimizing deep learning workflows and performing root cause analysis for storage issues. | — | 5 |
| Senior AI Strategist - Palantir This role focuses on driving the adoption of joint NVIDIA and Palantir AI and accelerated computing solutions within the US Federal Government. It involves strategic co-selling, partnership management, and understanding federal missions and procurement processes to grow revenue and market share. | — | 5 |
| Senior Software Engineer, AI Networking Senior Software Engineer role focused on AI networking products, specifically BlueField DPU and ConnectX. The role involves architecting, designing, and developing hardware-accelerated software solutions, leading technical engagements with hyperscalers, and driving performance/reliability improvements. Requires deep expertise in networking protocols, distributed systems, and low-level software development. | — | 5 |
| AI Hardware Architect NVIDIA is seeking an AI Hardware Architect to design next-generation AI hardware, focusing on GPUs and CPUs. The role involves analyzing AI applications and models, developing microarchitectural solutions for various system-level issues, and optimizing performance and power. This position requires deep knowledge of computer architecture, microarchitecture, and chip design, with a good understanding of LLMs. | — | 5 |
| Capacity Operations Manager NVIDIA is seeking a Capacity Operations Manager to coordinate the development and improvement of High Performance Computing (HPC) clusters, focusing on GPU capacity and compute resources across cloud platforms. The role involves designing and managing data models, reporting platforms, and automation solutions to support governance and strategic capacity decisions. Key responsibilities include assessing requirements, identifying performance bottlenecks, driving infrastructure resource efficiency, and developing tools for cloud infrastructure and analytics, potentially using AI techniques. The role requires collaboration with engineering, finance, and product teams to align capacity management with company goals and ensure customer satisfaction. | — | 5 |
| Senior Software Development Engineer, Test - Autonomous Vehicles NVIDIA is seeking a Senior Software Test Engineer for their Autonomous Vehicles team. The role focuses on building robust infrastructure, automation, and tooling for testing and validating self-driving technology across various platforms. Responsibilities include defining test strategies, architecting automation frameworks, collaborating with cross-functional teams, developing dashboards, and mentoring junior engineers. Requires a PhD with 4+ years or equivalent experience, proficiency in Python/C++, experience with CI/CD, build systems, and managing complex HW/SW integration projects. | — | 5 |
| Senior Product Marketing Manager, Cloud Accelerator Product Marketing Manager for NVIDIA Cloud Accelerator (NCX) team, focusing on AI infrastructure software. The role involves defining positioning, messaging, go-to-market strategy, and creating compelling narratives for partners and internal teams. Requires strong technical understanding of AI infrastructure, Kubernetes, GPU clusters, and inference platforms, with a focus on translating complex capabilities into clear customer value. | — | 5 |
| Senior DPU Test Development Engineer, SDET Senior DPU Test Development Engineer at NVIDIA, responsible for test planning, execution, automation scripting, and tool development for NVIDIA enterprise offerings like BlueField DPU. Requires strong Unix/Linux, shell/python programming, and experience with AI development tools for testing. | — | 5 |
| Semiconductor Safety Engineer NVIDIA is seeking a Semiconductor Safety Engineer to develop next-generation System on Chip (SoC) products for autonomous driving. This role involves collaborating with architects and designers on safety diagnostics, performing safety analysis and verification, optimizing engineering methodologies, and supporting third-party assessments. The position requires a Bachelor's degree in engineering, 5+ years of experience in automotive safety semiconductors, and a deep understanding of ISO 26262 functional safety standards. Experience with ADAS, autonomous driving, neural networks, and GPUs is a plus. | — | 5 |
| Senior Developer Technology Engineer, High-Performance Databases Senior Developer Technology Engineer focused on GPU-accelerating high-performance databases and ETL applications. This role involves researching and developing techniques to optimize data-intensive workloads, analyzing hardware/system bottlenecks, and influencing next-generation hardware and software design. The position requires expertise in C/C++, parallel programming (CUDA, OpenMP, MPI), CPU/GPU architecture, and domain knowledge in high-performance databases and data analytics. | — | 5 |
| Manager, GPU Accelerated Data Analytics Manager for a team of performance engineers focused on optimizing CPU and GPU performance for data analytics workloads, including database, data preprocessing, and video transcoding, using NVIDIA's platform. The role involves researching and developing new algorithms and techniques to improve performance and reduce cost/power, leading software design decisions, influencing architecture, and mentoring the team. Requires strong C/C++ programming, CUDA, CPU/GPU architecture expertise, and leadership experience. | — | 5 |
| Senior Developer Relations Manager - CSP Senior Developer Relations Manager for NVIDIA's CSP team in EMEA, focusing on engaging developer ecosystems and fostering adoption of NVIDIA's AI and computing platforms at global CSPs. Requires deep technical expertise, commercial go-to-market experience, and passion for developer advocacy. | — | 5 |
| Manager, Developer Relations - Industries Manager, Developer Relations focused on driving adoption of NVIDIA's AI and computing platforms through strategic partnerships with software providers and developers. This role involves leading a team, cultivating technical expertise, and guiding partners in integrating NVIDIA's software stack into their products. | — | 5 |
| Developer Relations Manager, Federal Government NVIDIA is seeking a Developer Relations Manager to lead strategic engagement with the U.S. Federal software ecosystem, focusing on ISVs building platforms for defense, intelligence, cybersecurity, and more. The role involves accelerating the adoption of NVIDIA's accelerated computing and AI platforms by guiding partner integrations, providing technical expertise, and enabling developers to build next-generation AI systems on NVIDIA technologies. This includes developing technical expertise in federal mission workloads, architecting and integrating the NVIDIA software stack, leading ISVs through onboarding, analyzing the ecosystem for opportunities, engaging senior technical leaders, and enabling the federal software ecosystem through workshops and events. | — | 5 |
| Dataflow Development Engineer - LPU Hardware DataFlow Develop, build, and improve dataflow systems at the hardware–software boundary for FPGA accelerators, focusing on implementing and tuning dataflow pipelines, creating host-side drivers and runtimes, and jointly inventing hardware and software for deterministic, low-latency execution. This role directly affects latency, efficiency, and resource usage for inference at scale. | — | 5 |