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 |
|---|---|---|
| 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 |
| Robotics Research Intern - 2026 Robotics Research Intern at NVIDIA focusing on fundamental and applied research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. The goal is to transform research paradigms, transfer into products, and create new markets. | AgentData | 9 |
| PhD Research Intern, AI for Climate and Weather Simulation 2026 NVIDIA is seeking a PhD Research Intern to apply modern AI methods to climate and weather simulation. The role involves proposing, researching, and prototyping innovative ideas, publishing groundbreaking work, and contributing to technology transfer. The intern will utilize NVIDIA GPUs for cutting-edge research at the intersection of AI and climate science. | Pretrain | 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, Fundamental LLM Research for Knowledge, Reasoning, and Agents NVIDIA is seeking a Senior Research Scientist to conduct fundamental LLM research, focusing on post-training, alignment, synthetic data, reasoning, novel learning paradigms, and multi-modalities. The role involves exploring new capabilities, enabling agency, acquiring commonsense knowledge, publishing research, and collaborating with product groups. | Post-trainPretrain | 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 |
| Research Scientist, Deep Learning and Computer Vision - New College Graduate Research Scientist role focused 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, and publication of original work, with potential for technology transfer to products. Requires a Ph.D. and a strong publication record in top-tier conferences. | Pretrain | 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 |
| Machine Learning Intern - Multimodal Models Generative AI NVIDIA is seeking a Machine Learning Intern to support research and development of large language and multimodal models. The intern will work on model fine-tuning, parameter-efficient training, architecture exploration, experiments, benchmarking, evaluation, data analysis, and prototype development using NVIDIA AI platforms and GPU-accelerated tools. The role also involves collaborating with researchers and engineers on AI innovation projects and exploring opportunities for technical publications. | Post-trainAgent | 8 |
| Solutions Architect - AI Technology Centre NVIDIA is seeking a Solutions Architect with expertise in AI for Chemistry and Materials Science to lead research and application efforts. The role involves driving collaborations, mentoring junior members, developing technical materials, and staying updated on AI advancements in the field. Requires a PhD or equivalent experience and proficiency in Python and AI/ML libraries like PyTorch. | Data | 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 |
| Solutions Architect - AI Development Solutions Architect role focused on leading AI research and application, mentoring technical members, and fostering AI ecosystem development using NVIDIA technologies. Requires expertise in AI research areas like Digital Twins, Synthetic Data Generation, Immersive Multimedia, and Generative AI, with a strong background in AI model training and Python/PyTorch. | DataPost-train | 8 |
| Senior AI Research Scientist, Robotics Digital Twins Senior AI Research Scientist role focused on developing digital twins for chemical, biological, and physical laboratories, integrating AI agents with science experiments, and collaborating with robotics and software engineers. Requires a Ph.D. and 5+ years of AI research experience in robotics. | Agent | 8 |
| 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 |
| Senior Scientist, Synthetic Data and Privacy This role focuses on research and development of synthetic data generation and privacy-preserving AI techniques, contributing to open-source libraries within the NVIDIA NeMo ecosystem. It involves building advanced pipelines, researching privacy methods like DP-SGD and NER for PII, and designing software libraries. The role requires a PhD, significant research experience in data privacy and synthetic data, a strong publication record, and expertise in PyTorch, HuggingFace, and LLM inference frameworks. | DataPost-train | 8 |
| System Software Architect, AI and GPU Networking NVIDIA is seeking a System Software Architect to research and develop advanced networking solutions for AI data centers, focusing on accelerating AI workloads, inference, and model serving. The role involves enhancing GPU networking offerings, designing optimizations for data movement, and evaluating new technologies. | 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 Deep Learning LLM training and inference, with a strong emphasis on networking aspects on NVIDIA supercomputers. | PretrainServe | 8 |
| Senior Research Engineer, Simulation NVIDIA is seeking a Senior Research Engineer specializing in physics simulation for their General Embodied Agent Research (GEAR) group, focusing on Project GR00T, an initiative to build foundation models and full-stack technology for humanoid robots. The role involves developing and optimizing simulation environments, implementing control algorithms, building procedural generation pipelines, and deploying learned models to physical robots, with a strong emphasis on sim2real transfer. | DataShip | 8 |
| Senior Quantum Algorithm Researcher NVIDIA is seeking a Senior Quantum Algorithm Researcher to lead collaborations and research in AI for quantum algorithms, contributing to NVIDIA's quantum products and driving innovation at the intersection of quantum computing and AI. The role involves establishing partnerships, publishing research, and supporting customer adoption. | Pretrain | 7 |
| Senior Quantum Algorithm Researcher NVIDIA is seeking a Senior Quantum Algorithm Researcher to lead technical collaborations and spearhead research in AI for quantum algorithms. The role involves driving innovation at the intersection of quantum computing and AI, contributing to NVIDIA's quantum products, and publishing impactful research. Requires a Ph.D. in a related field, 5+ years of experience in quantum algorithms, strong connections in the Singapore quantum ecosystem, and excellent programming skills. | Pretrain | 7 |
| Senior Research Scientist, Security and Privacy NVIDIA is seeking security and privacy researchers to develop secure, private, and safe AI systems. The role involves understanding vulnerabilities, developing hardware/software/algorithms for trustworthy AI, collaborating across teams, and publishing research. Requires a Ph.D. in a relevant field, expertise in security areas, and coding skills. | Post-train | 7 |
| Software Architect, Advanced Development Research role focused on the intersection of Networking, Security, and Communications, with a specific emphasis on applying AI to these domains. The role involves technical leadership, architecture design, SDK development for new hardware, and implementing services. A key aspect is working with AI-powered networking machines. | Serve | 7 |