NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 53% 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 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| Applied AI Researcher - World Reconstruction and Generation NVIDIA is seeking an Applied AI Researcher to work on NuRec-related research in world reconstruction and generation, developing and adapting Deep Learning-based methods for tasks like novel view synthesis, generative modeling, and neural rendering. The role involves prototyping with Python/PyTorch, building evaluation and agentic AI-assisted research workflows, and turning research into usable technology. Requires a PhD or MS with significant experience in ML/DL, Computer Graphics, Computer Vision, or 3D reconstruction, with strong Python/PyTorch skills. | Post-trainAgent | 9 |
| Senior Research Scientist NVIDIA is seeking a Senior Research Scientist to join their applied research team focused on building next-generation Conversational AI systems. The role involves developing new Deep Learning models for speech recognition, speech synthesis, neural machine translation, and natural language processing, designing large-scale training algorithms, and open-sourcing models via the NeMo framework. The position requires a PhD, at least 5 years of research experience in speech recognition or NLP, a strong understanding of Deep Learning in these areas, proficiency in Python and PyTorch, and a strong publication record. Collaboration with academic and product teams, as well as mentoring interns, are also key aspects of the role. |
| Post-trainPretrain |
| 9 |
| Senior Applied Deep Learning Scientist - Large Vision Language Models NVIDIA is seeking a Senior Applied Deep Learning Scientist to work on multimodal language models, specifically the Nemotron Omni family. The role involves pushing the boundaries of these models for downstream applications, preparing large-scale multimodal datasets, and collaborating globally to turn research into impactful products. The position spans the full pipeline from pre-training to post-training, with a focus on open models, weights, and data for real-world applications. | Post-trainData | 9 |
| Senior Software Engineer, AI Inference Systems Senior Software Engineer focused on building and optimizing AI inference systems for large-scale models, involving GPU kernel optimization, inference framework development (vLLM), benchmarking (MLPerf), and orchestration of distributed deployments. | Serve | 9 |
| Research Scientist, 3D Computer Vision Research Scientist role focused on 3D computer vision and deep learning, involving novel technique research, publication, and collaboration. Requires a Ph.D. and a strong publication record in top venues. | Pretrain | 9 |
| Research Scientist, 3D Computer Vision Research Scientist role focused on 3D computer vision and deep learning for scene understanding, pose estimation, and localization. The role involves publishing original research, mentoring, and collaborating with productization teams. Requires a Ph.D. and a strong publication record in top computer vision venues. | Post-train | 9 |
| Senior HPC and AI Network Software Architect NVIDIA is seeking a Senior HPC and AI Network Software Architect to design and build scalable AI infrastructure for distributed training and inference. The role involves developing software and hardware approaches to optimize communication efficiency and performance across large-scale systems, collaborating with AI framework teams and hardware teams. | ServePost-train | 9 |
| Senior Deep Learning Engineer Senior Deep Learning Engineer at NVIDIA to optimize and deploy foundation models for physical AI applications (AVs, robots, video analytics) on GPU platforms, focusing on high-performance inference. | ServePost-train | 9 |
| Senior GPU Networking Architect This role focuses on building and optimizing GPU communication kernels for large-scale AI systems, linking GPU computing with networking. The Senior GPU Networking Architect will leverage deep knowledge of GPU architecture to improve kernel efficiency, minimize latency, and overlap computation with communication. Responsibilities include developing GPU-resident communication primitives, profiling and tuning kernels, and collaborating with various teams to co-design communication strategies. The role requires strong CUDA programming, GPU architecture fundamentals, and systems-level C/C++ development. | Serve | 9 |
| Senior Software Engineer – AI and Autonomous Driving Senior Software Engineer to build and deploy production AI for autonomous vehicles, focusing on training, fine-tuning, and optimizing deep learning models for real-time inference on NVIDIA GPUs. Requires strong C++/Python, deep learning training experience, and Linux development skills, with a preference for GPU programming, computer vision, or robotics. | Post-trainServe | 9 |
| Senior Manager, Interactive World Model Platforms Engineering leader to scale NVIDIA's interactive world-model platform (OmniDreams, FlashDreams) into an industry standard, focusing on production engineering, performance, and developer/researcher success across AV, robotics, rendering, and simulation. | ShipServe | 8 |
| Senior Software Engineer, Applied AI Senior Software Engineer, Applied AI Systems role focused on building production AI/ML and agentic solutions. Responsibilities include developing agents, workflow services, APIs, data pipelines, tool integrations, evaluation harnesses, and operational tooling. Requires strong Python skills, experience with LLMs, RAG, agentic AI, distributed systems, and system design. The role emphasizes turning ambiguous problems into durable software systems and shaping how production applied AI systems are built and measured. | Agent | 8 |
| Solutions Architect - AI for Drug Discovery NVIDIA seeks a Solutions Architect for their EMEA team to drive AI adoption in drug discovery within the biopharma industry. The role involves acting as a technical advisor to pharmaceutical companies, biotechs, and research organizations, leveraging NVIDIA's computing platform. Responsibilities include building proof-of-concept demonstrations, scaling AI deployments, and supporting business development by guiding customers on production-grade inference, model training, RL, and post-training algorithms. The role also involves exploring foundation models, agentic LLM applications, and physical AI in biopharma, providing feedback to internal teams, and documenting/teaching NVIDIA solutions. | ServePost-train | 8 |
| Senior HPC and AI Networking Performance Research and Analysis Engineer Research Engineer focused on analyzing and optimizing the performance of large-scale distributed LLM training and inference on GPU clusters, with a strong emphasis on networking aspects. | PretrainServe | 8 |
| Senior Software Engineer, JAX Senior Software Engineer to develop NVIDIA's AI platform, focusing on performance optimizations in deep learning frameworks using JAX. The role involves designing and implementing JAX core components, driving performance on NVIDIA products, and building tools to increase efficiency for AI-based systems. | Serve | 8 |
| Senior System Software Engineer – Embedded AI Inference Senior Software Engineer to develop production automotive software for AI inference and agent orchestration in C++ for embedded platforms. Focus on building next-generation automotive software applications, including in-car agentic AI and inference of LLM/VLM/VLA models on NVIDIA GPUs. | ServeAgent | 8 |
| Principal AI Developer Technology Engineer This role focuses on researching and developing techniques to accelerate AI workloads (deep learning, machine learning) on advanced computer architectures, specifically GPUs. The engineer will perform in-depth analysis and optimization of complex AI and HPC algorithms, publish findings, and influence future hardware/software design. Requires deep C/C++ programming, parallel programming (CUDA, etc.), low-level performance optimization, and CPU/GPU architecture expertise. | Serve | 8 |
| Principal AI Developer Technology Engineer Seeking a Principal Developer Technology Engineer to research and develop techniques for GPU acceleration of AI workloads, focusing on performance optimization of deep learning and HPC algorithms on modern CPU and GPU architectures. This role involves collaborating with internal teams and the developer community, influencing hardware/software design, and publishing findings. | Serve | 8 |
| Solution Architect, Financial Services Solutions Architect for Financial Services at NVIDIA, focusing on guiding customers in leveraging NVIDIA's AI technologies, particularly in areas like model distillation, domain adaptation, reinforcement learning, and post-training algorithms. The role involves technical advocacy, collaborative innovation, and knowledge sharing within the financial services sector, requiring expertise in AI frameworks, Python, distributed computing, and the AI model lifecycle. | Post-trainPretrain | 8 |
| Solution Architect, Energy NVIDIA is seeking a Solution Architect with deep expertise in AI solutions to drive the efficient use of compute platforms in the Energy Industry. The role involves being a trusted technical advisor to developers and customers, embedding NVIDIA software, improving application performance, and establishing the foundation for next-generation AI systems. Responsibilities include supporting business development, working directly with customers, assisting in the adoption of NVIDIA software, analyzing architectures for acceleration opportunities, providing feedback to engineering teams, and delivering trainings and demonstrations. Requires an MS/PhD in a technical field, 5+ years of experience in AI/ML/DL/NLP/Generative AI, and 5+ years of industrial experience in power grid software and advanced ML for grid operations. Familiarity with accelerated computing, GPU systems, Python/C/C++, major AI frameworks, containers, and version control is essential. Experience designing and building complex AI/ML solutions, and reasoning across various system components is also required. | Serve | 8 |
| Solutions Architect – AI Factory Solutions Architect role focused on designing, building, and operationalizing large-scale AI factories and GenAI/Agentic AI solutions for enterprise customers, leveraging NVIDIA's technology stack. This involves hands-on work with compute, networking, software, and cluster management tools. | Agent | 8 |
| Senior Software Engineer – ADAS Senior Software Engineer to develop production ADAS and autonomous driving functions in C++ and Python, integrating deep learning models into real-time inference pipelines on NVIDIA GPUs for safety-critical automotive applications. | ServePost-train | 8 |
| Senior Solutions Architect, AI Factory NVIDIA is seeking a Senior Solutions Architect with expertise in AI Supercomputing to support academic and commercial groups using NVIDIA products for deep learning, data analytics, and scientific simulation. The role involves understanding customer needs, developing solutions, demonstrating workflows, and communicating requirements to NVIDIA Engineering. Requires 3+ years of Deep Learning research experience, experience with LLM training and adaptation, and familiarity with DL frameworks and Generative AI. | Post-train | 8 |
| Senior Deep Learning Compiler Engineer - PyTorch Senior Deep Learning Compiler Engineer to develop and optimize PyTorch models for NVIDIA GPUs using compiler technology like Thunder, TorchDynamo, and TorchInductor. Focus on performance analysis and contributing to open-source AI ecosystem. | Serve | 8 |
| Senior Software Architect - Deep Learning and HPC Communications Senior Software Architect at NVIDIA focused on designing and implementing next-generation data center platforms and scalable communication software to accelerate AI and HPC workloads. The role involves investigating performance bottlenecks, exploring HW/SW co-design, building proofs-of-concept, and performing quantitative modeling for large GPU clusters. | Serve | 8 |
| Senior Software Architect - Deep Learning and HPC Communications This role focuses on architecting and implementing next-generation communication software and platforms for deep learning and high-performance computing (HPC) applications, specifically targeting the efficient scaling of GPU clusters. The work involves identifying performance bottlenecks, designing new communication technologies, exploring hardware/software co-design, and using simulation to evaluate performance at massive scales. | Serve | 8 |
| Principal Simulation Engineer, Industrial Physics and Robotics NVIDIA is seeking a Principal Simulation Engineer to lead the development of advanced physically based simulation systems for robotics and industrial digital twins. This role requires deep expertise in multibody dynamics, contact, friction, and flexible bodies, with a focus on integrating simulation with robotics workflows and applying modern AI-assisted and agentic development. The ideal candidate has a track record of building production-level simulation software and experience validating simulators against physical systems. | Agent | 7 |
| Senior HPC AI Cluster Engineer NVIDIA is seeking an experienced HPC-AI Engineer to join their Networking Clusters Solutions Infrastructure team. The role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedulers, developing CI/CD pipelines, and automating infrastructure deployment and monitoring. The engineer will work with cutting-edge hardware and software, support R&D, and engage in POCs for future improvements. | Serve | 7 |
| Solution Architect, Financial Services NVIDIA is seeking a Solutions Architect for Financial Services to act as a trusted technical advisor to customers, enabling their productivity and driving adoption of NVIDIA's AI technologies. The role involves working with financial institutions, providing technical guidance, developing solution prototypes, and staying updated on industry trends. Requires a BS/MS/PhD in a technical field, 5+ years of AI experience, financial services background, and expertise in coding for NVIDIA GPUs. | Serve | 7 |
| Senior Software Engineer - Autonomous Vehicles Senior Software Engineer role at NVIDIA focused on autonomous vehicle software, specifically Active Safety features and intervention logic. The role involves adapting NVIDIA Drive software, triaging and diagnosing complex issues in ADAS and autonomous driving systems, collaborating with teams to root cause problems, and supporting vehicle bring-up and validation. Requires strong background in ADAS development, proficiency in embedded environments, and understanding of Active Safety functions. Experience with C++, Python, sensor-based automotive software, and Euro NCAP protocols is advantageous. | ShipAgent | 7 |
| Senior Software Test Engineer, L3 and L4 - Autonomous Driving Senior Software Test Engineer for L3 and L4 autonomous driving products at NVIDIA. Responsibilities include developing test strategy, defining test plans, formulating test cases, collaborating with stakeholders, leading vehicle integration, and spearheading data triage and root cause analysis. Requires extensive experience in ADAS, system analysis, data analysis, software architecture, and mass-production launches of autonomous driving features, with a strong understanding of functional safety and AV sensor suites. | AgentServe | 7 |
| Senior Manager, AlpaSim & AlpaDreams Production Seeking an engineering leader to productize neural simulation technologies (AlpaDreams, AlpaSim) for AV and robotics. This role involves building and scaling a team, hardening research into a production-quality platform, and establishing an open-source standard. Requires strong technical depth in ML, distributed systems, and production infrastructure, with a proven track record of shipping research-stage systems as scalable products. | ShipPretrain | 7 |
| Senior Networking Solution Test Engineer – AI Cluster Debugging Senior Networking Solution Test Engineer focused on debugging large-scale AI clusters, NVLink, Ethernet, and InfiniBand. The role involves designing tests, building testbeds, end-to-end troubleshooting, collaborating with development teams on networking components, and profiling deep learning workloads. | Serve | 7 |
| Senior Solutions Architect, HPC and AI Senior Solutions Architect focused on deploying, debugging, and optimizing large-scale AI training and inference workloads on GPU clusters. The role involves collaborating with internal teams and external customers to solve complex HPC and AI challenges, focusing on performance, stability, and scaling of AI workloads. | ServeData | 7 |
| Senior Application Engineer Senior Application Engineer role focused on accelerating materials and chemical discovery using AI, involving collaboration with developers and researchers on building, fine-tuning, and optimizing AI models and agentic workflows. The role requires experience with AI frameworks, benchmarking domain-specific models, and communicating technical value. | Post-trainAgent | 7 |
| Senior Libraries Engineer – AI and HPC Senior Libraries Engineer at NVIDIA focused on building and optimizing GPU/CPU accelerated data processing software libraries for AI, data analytics, computer vision, and scientific simulations. The role involves developing scalable library software, performance tuning, optimization, and providing technical leadership. | Serve | 7 |