NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 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 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| Research Scientist, Deep Learning and Computer Vision - New College Graduate Research Scientist role at NVIDIA focusing on deep learning and computer vision, with an emphasis on novel methods, generative and multimodal AI, and explainable AI. The role involves research, design, implementation, publication, and technology transfer to product groups. Requires a Ph.D. and a strong publication record in top conferences. | Pretrain | 10 |
| Senior Scientist, Synthetic Data Generation Senior Scientist focused on synthetic data generation for training frontier LLMs, contributing to open-source libraries and advancing multimodal data generation. | DataPost-train |
| 10 |
| AI Research Scientist AI Research Scientist at NVIDIA focusing on GPU-accelerated generative AI models for language, vision, and robotics, with a strong emphasis on publishing novel research and efficient model design. | Pretrain | 10 |
| AI Research Scientist AI Research Scientist at NVIDIA focusing on developing and optimizing GPU-accelerated generative AI models for language, vision, and robotics, with a strong emphasis on publishing research and transferring technology to products. | Pretrain | 10 |
| Research Scientist NVIDIA Research Singapore is seeking AI researchers to develop and optimize GPU-accelerated efficient AI computing for language models, visual generation, and robotics, focusing on pushing generative AI boundaries and publishing research. | Pretrain | 10 |
| Senior Research Scientist, Multimodal Foundation Models and Robotics Research Scientist role focused on building multimodal foundation models and systems for humanoid robots and embodied agents, involving algorithm design, large-scale training/inference, and deployment on physical hardware and simulations. | Post-trainAgent | 10 |
| Senior Deep Learning Researcher, Diffusion Senior Deep Learning Researcher at NVIDIA focusing on diffusion-based technologies and multi-modal learning. The role involves inventing and building new techniques, combining diffusion models with LLMs, and publishing research findings. It requires a PhD, research experience, and a strong publication record in leading AI conferences and journals. | PretrainPost-train | 10 |
| Senior Research Scientist, Fundamental Generative AI Senior Research Scientist focused on fundamental generative AI research, particularly for biomolecular design and scientific applications. The role involves designing and implementing novel, large-scale generative models, publishing research, and transferring technology to product groups. | Pretrain | 10 |
| AI Research Scientist AI Research Scientist at NVIDIA focusing on developing and optimizing GPU-accelerated generative AI models for language, vision, and robotics, with a strong emphasis on publishing research and transferring technology to products. | Pretrain | 10 |
| Research Scientist, Fundamental Generative AI - New College Grad 2026 Research Scientist role focused on fundamental generative AI research, particularly for scientific applications like biomolecular design. The role involves developing novel, large-scale generative models, publishing research, and potentially transferring technology to product groups. Requires a strong theoretical and practical understanding of generative AI and deep learning. | Pretrain | 10 |
| Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026 Research Scientist role focused on building humanoid robot foundation models and general-purpose embodied agents. Involves designing and implementing novel AI algorithms, developing large-scale training and inference methods, and deploying models in simulation and on hardware. Requires strong experience in LLMs, multimodal foundation models, reinforcement learning, agent learning, and applied robotics, with a PhD and publication record. | AgentData | 10 |
| Senior Research Scientist, Multimodal Foundation Models and Robotics Research Scientist role focused on developing multimodal foundation models and systems for general-purpose humanoid robots and embodied agents, involving algorithm design, large-scale training/inference, and deployment on physical hardware and simulations. | Post-trainAgent | 10 |
| Senior Research Scientist, Nemotron Post-training Research Scientist/Engineer at NVIDIA focused on building Nemotron models, specifically working on post-training pipelines, synthetic data, agentic RL, data/training infrastructure, and large-scale model post-training. The role involves advancing open-source foundation models, developing training data, benchmarks, LLMs, and software, and solving end-to-end foundation model post-training challenges. Requires a Master's/PhD and 5+ years of experience in model post-training, RL, and agentic systems, with experience in data curation, model training, and inference/deployment environments. | Post-trainAgent | 9 |
| Research Scientist, Efficient Deep Learning - New College Grad 2026 Research Scientist role focused on efficient deep learning methods, including post-training optimization, efficient architecture design, and resource-efficient training/finetuning. Requires a Ph.D. or equivalent research experience, strong Python/PyTorch skills, and experience with large-scale model training and large vision-language models. The role involves research, implementation, publication, and technology transfer. | Post-trainServe | 9 |
| Senior Scientist, Synthetic Data and Privacy Senior Scientist role focused on building LLM-based methods for synthetic data generation and privacy-preserving AI, contributing to open-source libraries within the NVIDIA NeMo ecosystem. The role involves applied research, software engineering, and optimizing LLMs for inference, with a strong emphasis on publishing original research. | DataServe | 9 |
| Senior Quantum Applied Research Scientist, Calibration and Decoding Research Scientist at NVIDIA focusing on developing AI models for quantum system calibration and decoding. This role involves building physics-informed synthetic data generation pipelines, developing surrogate models of quantum hardware, and architecting real-time AI systems. The work also includes applying reinforcement learning and online learning methods for optimization, with a strong emphasis on GPU acceleration and collaboration across Product, Engineering, and Applied Research teams to advance fault-tolerant quantum computing. | Post-trainData | 9 |
| Senior Research Manager, World Model Evaluation Lead a research team focused on world-model evaluation and benchmarking for NVIDIA's Physical AI portfolio, defining the scientific roadmap for closed-system and open-system evaluations, developing benchmarks for various physical AI capabilities, and driving evaluation-to-model-improvement loops. The role requires publishing high-quality papers and establishing rigorous standards. | Eval GatePost-train | 9 |
| 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 |
| Research Scientist, Electronic Design Automation - New College Grad 2026 Research Scientist role focused on applying AI/ML techniques, including supervised, unsupervised, reinforcement learning, and agentic AI, to Electronic Design Automation (EDA) and VLSI design. The role involves defining and conducting original research, innovating in EDA software and algorithms, and applying deep learning to improve chip design tools, with a strong emphasis on publication and collaboration. | 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 Data Scientist - Security and Networking Research Senior Data Scientist role focused on AI cybersecurity, developing agentic AI systems, optimizing models, and leveraging data pipelines for NVIDIA's networking and data center security products. | AgentPost-train | 9 |
| AI Workload and Networking Research Architect Research Architect role focused on optimizing AI workloads and networking infrastructure for NVIDIA's AI computing platforms, involving modeling, analysis, and influencing future product roadmaps. | ServePost-train | 9 |
| Senior Quantum AI Research Scientist, Applied Research NVIDIA is seeking a Senior Quantum AI Research Scientist to architect and build AI solutions for fault-tolerant quantum computing, focusing on quantum error correction, decoding, calibration, and beyond. The role involves researching and developing open AI models, datasets, and benchmarks, fine-tuning models for specific quantum systems, and collaborating with cross-functional teams to integrate AI into quantum supercomputers. | Post-trainData | 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 Research Scientist, AI-Mediated Reality and Interaction Senior Research Scientist focused on AI-Mediated Reality and Interaction, creating interactive physical AIs for dynamic 4D worlds. Research areas include AI, neural rendering, graphics, generative modeling, LLMs, and human behavior. The role involves proposing and prototyping novel research, publishing in top venues, collaborating with teams, creating demonstrations, and participating in technology transfer to products like Isaac, Omniverse, and Metropolis. | Pretrain | 9 |
| Senior Applied Researcher, AI Agentic Systems NVIDIA is seeking a Senior Applied Researcher to build and deploy end-to-end agentic systems that integrate LLMs with domain tools to enhance NVIDIA's products, specifically targeting HW and SW engineering workflows. The role involves developing complex agentic systems with multi-agent coordination, long-horizon reasoning, planning frameworks, and RAG pipelines, and establishing evaluation backbones for iteration and improvement. | Agent | 9 |
| Senior Applied AI Researcher, Digital Biology Senior Applied AI Researcher at NVIDIA Israel focusing on deep learning for biology. The role involves developing foundational, generative, and agentic AI models, including LLMs and multimodal systems, for biological data and digital twin applications in healthcare. Responsibilities include research, implementation, evaluation, and collaboration in an interdisciplinary team. | AgentPost-train | 9 |
| Principal Architect, AI Networking This role leads the research agenda and architectural direction for NVIDIA's AI networking systems, focusing on high-performance communication at scale. It involves original research, hardware-software co-optimization, and integrating networking into AI serving stacks, with a requirement to publish findings and ship production-grade software. | ServePretrain | 9 |
| Research Scientist - New College Grad 2025 Research Scientist role focused on developing new deep learning models for code and mathematics reasoning, designing large-scale training algorithms, and open-sourcing models using NeMo. The role involves publishing research papers and collaborating with academic labs. | PretrainPost-train | 9 |
| Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026 Research Scientist role focused on Generative AI for Physical AI, developing advanced video generative and video-language models, and scaling large-scale training systems for foundation models. Requires a PhD and expertise in PyTorch, diffusion, vision-language, reasoning models, RL, and physics simulation. | PretrainPost-train | 9 |
| Senior Robotics Research Engineer, Robotics and AI for Drug Discovery Senior Robotics Research Engineer focused on building physical AI for drug discovery labs, involving robotics simulation, perception, task and motion planning, and training robots for manipulation tasks using imitation and reinforcement learning. | AgentData | 9 |
| Senior Research Scientist for Generative AI Senior Research Scientist at NVIDIA focusing on original research in generative AI, including image, video, 3D, and audio generation. The role involves implementing and training large-scale models, building research prototypes, and collaborating with product teams for technology transfer. | Post-trainPretrain | 9 |
| Senior Research Scientist, AI Accelerator Design and VLSI Research Scientist focused on AI accelerator hardware design, VLSI, and AI HW/SW co-design, applying machine learning and generative AI to hardware design flows and optimization techniques like quantization. | Serve | 9 |
| AI Safety Scientist, Deep Learning Research Scientist focused on AI safety for multilingual, multimodal LLMs, including content safety, ML fairness, bias detection, and hallucination mitigation. The role involves developing datasets, moderator models, and training techniques (SFT, RL), and contributing to safety tools. | Post-trainData | 9 |
| Research Scientist, AI Accelerator Design and VLSI - New College Grad 2026 Research Scientist role focused on AI Accelerator Design and VLSI, involving AI HW/SW Co-Design, quantization, and applying generative AI to hardware design. Requires a PhD and experience in VLSI, computer architecture, or numerical algorithms for AI. Collaborates on research prototypes and publishes findings. | Serve | 9 |
| Senior Applied Deep Learning Research Scientist, Efficiency Research Scientist at NVIDIA focused on making deep learning models more efficient through techniques like quantization, sparsity, and optimized architectures. The role involves researching low-bit representations, pruning, and developing new algorithms for both training and inference, with a focus on understanding the root causes of efficiency gains and losses. The work directly influences next-generation hardware and state-of-the-art models, with opportunities for open-sourcing or publishing findings. | Post-trainServe | 9 |
| Senior Research Scientist, Multi-Modal Language Models Senior Research Scientist at NVIDIA focused on Multi-Modal Language Models, driving Nemotron technology. The role involves improving model abilities, generalization, and efficiency through data synthesis, retraining, and developing training recipes for mixed modalities (text, image, video, audio). It also includes translating research into production, exploring evaluation paradigms, and contributing to open-source communities. | PretrainPost-train | 9 |
| Research Scientist, AI for Graphics and Gaming - New College Grad 2026 Research Scientist role focused on Generative AI for Graphics and Gaming, involving research, training, and prototyping of AI models for real-time graphics, world models, LLM-powered game experiences, and AI-driven characters. The role emphasizes step-change research and collaboration with product, driver, and hardware teams to ship features. | Post-trainPretrain | 9 |
| Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026 Research Scientist role focused on advancing AI in areas like gaming and robotics by understanding and shaping human perception, learning, and behavior through the lens of vision science, HCI, and HRI. The role involves proposing, researching, prototyping, and testing innovative ideas, publishing at top conferences, and collaborating with researchers and product engineers. Requires a PhD or equivalent research experience and a strong publication record. | Post-train | 9 |
| Research Scientist, Robotics Research - PhD New College Grad 2026 Research Scientist role focused on developing and integrating algorithms, models, and methods for robotic manipulation and loco-manipulation. The role involves contributing to multi-person research projects, publishing in top conferences, collaborating with product teams for research transfer, and working with real-world robotic systems and simulation. Requires a PhD and a strong research track record in robotics, ML, or related fields, with expertise in Python, deep learning frameworks, and robotics/simulation frameworks. | AgentData | 9 |
| Research Scientist, AI-Mediated Reality and Interaction Research - PhD New College Grad 2026 Research Scientist role focused on fundamental research in AI-Mediated Reality and Interaction, involving interactive physical AIs, 4D world modeling, and human-AI interaction. The role requires proposing, researching, and prototyping innovative ideas, publishing at top conferences, and collaborating with engineers for technology transfer. Requires a Ph.D. and a strong research track record in AI and computer vision. | Pretrain | 9 |
| Research Scientist, ML Systems - PhD New College Grad 2026 Research Scientist role focused on ML Systems, contributing to hardware, software, and infrastructure for ML systems at various scales. The role involves understanding and developing solutions for efficiency, scaling, and resilience in ML systems, with a focus on co-design of algorithms and systems. Requires a PhD and expertise in areas like OS, distributed systems, inference/training systems, data management, cloud computing, or computer architecture. | ServePost-train | 9 |
| Senior Research Scientist, Efficient Deep Learning Senior Research Scientist at NVIDIA focusing on efficient deep learning methods, including post-training optimization, architecture design, and resource-efficient training/fine-tuning. The role involves research, implementation, publication, collaboration, and technology transfer to products. | Post-trainServe | 9 |
| Senior Research Scientist - Autonomous Vehicles Research Scientist role focused on AI for autonomous vehicles, involving designing and implementing techniques, publishing research, and collaborating with product teams for deployment. The role emphasizes agent behavior, foundation models, closed-loop training, and AI safety within the robotics domain. | Agent | 9 |
| Senior Research Engineer - Autonomous Vehicles Senior Research Engineer at NVIDIA focusing on AI for Autonomous Vehicles. The role involves developing large-scale training frameworks for multimodal foundation models, optimizing GPU utilization, implementing data loaders, building simulation infrastructure, integrating new architectures, developing sim-to-real pipelines, combining LLMs with policy learning, and applying RL for fine-tuning LLMs. Requires expertise in deep learning, reinforcement learning, generative modeling, distributed training systems, and GPU acceleration. | Post-trainAgent | 9 |
| Senior Robotics Research Scientist NVIDIA's Seattle Robotics Lab is seeking a Senior Robotics Research Scientist to develop algorithms, models, and methods for robotic manipulation and loco-manipulation, integrating them into real-world systems and transferring research into NVIDIA products. The role involves fundamental and applied research across the robotics stack, with a focus on enabling companies to become robotics companies. | ShipData | 9 |
| Research Scientist, ML Systems - PhD New College Grad 2026 Research Scientist role focusing on ML Systems, contributing to hardware, software, and infrastructure for training, fine-tuning, and serving ML models at scale. Requires a PhD and expertise in systems research areas. | ServePost-train | 9 |
| Senior Software Research Architect, AI Networking NVIDIA is seeking a Senior Software Research Architect to improve the framework for large-scale LLM learning and prediction. This role focuses on designing and optimizing systems for generative AI workloads on advanced GPU clusters, specifically leveraging the NVIDIA Spectrum-X Networking Platform to define deployment and scaling strategies. The architect will work on inter-node communication, compute scheduling, and system-level optimization, collaborating with engineers and researchers to enable generative AI technologies in real-world applications. | ServePretrain | 9 |
| Senior Deep Learning Researcher, Diffusion Senior Deep Learning Researcher at NVIDIA focusing on diffusion-based technologies and multi-modality. The role involves inventing and building new techniques, publishing findings, and contributing to NVIDIA's AI enterprise software. Requires a PhD, research experience, and publications in top-tier conferences. Experience with image/video understanding and LLMs is essential. | PretrainPost-train | 9 |
| Research Scientist, Security and Privacy - PhD New College Grad 2026 Research Scientist focused on security and privacy for AI systems, aiming to develop hardware, software, and algorithms for trustworthy AI with verifiable protection. Requires a PhD and expertise in areas like computer architecture, programming languages, applied cryptography, or AI/ML algorithms, with a strong publication record. | Post-train | 8 |