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 |
|---|---|---|
| Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026 PhD research intern focused on advancing LLMs using reinforcement learning. Will design, implement, and evaluate new RL-based methods for improving LLM behavior, reasoning, alignment, and task performance. Involves hands-on experimentation and large-scale GPU cluster work. | Post-trainAgent | 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 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 |
| Deep Learning Senior Engineer, End-To-End Autonomous Driving NVIDIA is seeking a Deep Learning Senior Engineer to design, implement, and deploy end-to-end autonomous driving systems. The role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs for reasoning and planning in autonomous vehicles and robotics. Responsibilities include training large-scale models, building and fine-tuning LLM/VLM/VLA systems, exploring data generation strategies, and deploying models in production environments, integrating them with vehicle firmware. | Post-trainAgent | 9 |
| 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 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 |
| 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 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, Post-Training LLM and DLM Senior Research Scientist focused on post-training algorithms for LLMs and DLMs, system optimization for training and serving, and developing evaluation frameworks. The role involves translating research ideas into production-ready implementations and contributing to open-source communities. | Post-trainServe | 9 |
| Research Scientist, Generative AI for Graphics and Gaming Research Scientist role focused on developing and training advanced generative AI models for graphics and gaming applications. The role involves research, pre-training, post-training, data pipeline development, and prototyping in real-time engines, with a focus on user experience improvements and bringing ideas to market. | Post-trainPretrain | 9 |
| Senior AI Engineer, World Foundation Models NVIDIA is seeking a Senior AI Engineer to work on world foundation models for generating dynamic worlds, focusing on human appearance, motion, and action understanding. The role involves applied research, developing and validating model improvements, and hardening them into production-grade checkpoints. Responsibilities include researching architecture changes, exploring multimodal modeling, improving training/inference efficiency, defining training objectives, developing benchmarks, and translating research into robust implementations. Requires a PhD or equivalent experience, 8+ years of applied research/industry experience, 3+ years in generative models for image/video/audio, proficiency in Python, PyTorch, C++, CUDA, and experience with large model training and inference optimization. | Post-trainServe | 9 |
| Solutions Architect, GenAI NVIDIA is seeking a Solutions Architect with deep expertise in Generative AI (LLM) model building, focusing on training LLMs at scale and customizing them. This role involves designing solutions, leading workshops, and collaborating with internal teams to build full-stack GenAI solutions for enterprise use cases. The position requires significant experience in deep learning and generative AI, with an emphasis on large-scale LLM training. | Post-trainServe | 9 |
| Senior Solutions Architect - Generative AI Senior Solutions Architect specializing in Generative AI, focusing on training LLMs, fine-tuning, and RAG implementation. The role involves architecting end-to-end solutions, collaborating with customers and sales teams, and providing technical leadership for LLM training and Agentic AI workflows on NVIDIA platforms. | Post-trainAgent | 9 |
| LLM Reinforcement Learning Framework Engineer NVIDIA is seeking an LLM Reinforcement Learning Framework Engineer to develop and deploy RL algorithms for LLM post-training, focusing on improving reasoning and alignment. The role involves integrating RL components into NVIDIA's LLM stack, crafting experiments, and ensuring production readiness. Requires strong Python, PyTorch, and practical RL experience with LLMs, along with familiarity in async/distributed orchestration. | Post-trainAgent | 9 |
| Senior Software Engineer, RL Post-Training Frameworks NVIDIA is seeking a Senior Software Engineer to build and scale RL post-training infrastructure, focusing on distributed systems, high-performance computing, and deep learning infrastructure. The role involves architecting and optimizing RL training-inference-rollout loops, ensuring fault tolerance and elastic scaling, and collaborating with researchers and hardware teams. | Post-trainServe | 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 Machine Learning and Simulation Engineer - Autonomous Vehicles Senior ML Engineer focused on building and optimizing large-scale Reinforcement Learning (RL) training frameworks for multi-modal Autonomous Vehicle (AV) foundation models. This role involves designing simulation and data processing pipelines, refining reward functions, and ensuring the reliability of training workflows on GPU clusters, with a focus on closed-loop simulation for training end-to-end AV models. | Post-trainAgent | 9 |
| Deep Learning Solution Architect NVIDIA is seeking a Deep Learning Solution Architect to drive the research, development, and optimization of Reinforcement Learning algorithms and infrastructure for LLMs and multimodal models. The role involves collaborating with internal teams, improving customer engagements with NVIDIA RL technologies, and developing toolchains and documentation. Requires MS/PhD, 5+ years of experience in RL, LLM training, or multimodal learning, proficiency in PyTorch, and strong engineering skills in distributed training or orchestration. | Post-trainAgent | 9 |
| Senior Applied Scientist - Sovereign AI Senior Applied Scientist/AI Engineer at NVIDIA focusing on Sovereign AI efforts. The role involves end-to-end model training (pre-training, CPT, SFT, alignment), rigorous evaluation and benchmarking, and inference optimization using tools like TensorRT-LLM and NIM. Requires strong Python, PyTorch, and experience with large-scale ML frameworks. | Post-trainServe | 9 |
| Deep Learning Senior Engineer, End-To-End Autonomous Driving NVIDIA is looking for a Deep Learning Senior Engineer to design, implement, and deploy end-to-end autonomous driving systems. The role focuses on leveraging LLMs, VLMs, and VLAs for reasoning and planning, involving model training, pre-training, fine-tuning, and integration into safety-critical vehicle firmware. Experience with production-grade ML models and C++ for deployment is required. | 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 ASR, speech synthesis, NMT, and NLP, designing large-scale training algorithms, and open-sourcing models using NeMo. The position requires a PhD, significant research experience in speech recognition or NLP, strong Python and PyTorch skills, and a proven publication record. | Post-trainPretrain | 9 |
| Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving NVIDIA is seeking a Principal Deep Learning Senior Engineer to design, implement, and deploy end-to-end autonomous driving systems. The role focuses on leveraging LLMs, VLMs, and VLAs for advanced reasoning and planning in vehicles and robotics, involving model training, pre-training, fine-tuning, and integration into safety-critical systems. | Post-trainAgent | 9 |
| Deep Learning Engineer - LLM and VLM Model Compression NVIDIA is seeking a Deep Learning Engineer with 8+ years of experience to build deep learning frameworks for LLM and VLM model compression. The role involves designing and implementing algorithms for pruning, NAS, and distillation, experimenting with model compression, and collaborating with researchers. Experience with PyTorch, LLM/VLM training or inference, and DL fundamentals are required. Experience with model compression techniques, building DL frameworks, and GPU programming are preferred. The role is based in Poland or Switzerland, with a salary range of 292,500 PLN - 650,000 PLN. | Post-trainServe | 9 |
| Senior Deep Learning Scientist, Multimodal Conversational AI Senior Deep Learning Scientist role focused on developing, training, fine-tuning, and deploying streaming multimodal conversational AI systems. This includes speech, audio, vision, voice chat, and action, as well as human-AI interaction. The role involves applying research to define algorithmic improvements and scale them through the Nemotron platform, working on high-impact LLM products. | Post-trainAgent | 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, Electronic Design Automation NVIDIA is seeking a Senior Research Scientist to conduct research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). The role involves defining and conducting original research in EDA algorithms, VLSI design methodology, and advanced machine learning techniques, with a focus on applying deep learning and GPU acceleration to improve chip design tools and flows. The scientist will collaborate with internal teams and the research community, publishing findings and potentially translating research into products. | Post-train | 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 |
| 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 |
| Agent RL Infra Engineer NVIDIA is seeking an engineer to develop and productionize reinforcement learning (RL) capabilities for agent teams within an enterprise context. The role involves evaluating and adapting RL approaches, designing reward environments, operationalizing training backends, and integrating with existing ML services. Responsibilities include leading data curation, designing RL training loops, integrating with GPU infrastructure, building observability, and collaborating with various platform and customer teams. The ideal candidate has extensive experience in operationalizing fine-tuning and RL techniques, familiarity with distributed training frameworks and MLOps, and proficiency in relevant programming languages. | Post-trainAgent | 9 |
| Senior Research Engineer Neural Reconstruction Senior Research Engineer focused on neural reconstruction, developing and integrating neural rendering approaches for generative video, segmentation, and 3D reconstruction. The role involves adapting and fine-tuning generative models, collaborating on ML workflows, and contributing to core NVIDIA products. Requires strong Python and ML library skills, with experience in training and optimizing models. | Post-trainServe | 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 |
| 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 |
| 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 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 |
| 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 |
| AI Research Engineer - Applied Scientist Compilers AI Research Engineer/Applied Scientist focused on Compilers/Low-level optimization to develop AI compiler solutions for NVIDIA's software stack and GPU acceleration. Responsibilities include applying AI to compilation, implementing AI-based solutions for GPU programming, building training pipelines (fine-tuning, RL), defining model I/O, developing evaluation frameworks, prompt engineering, integrating learned policies, prototyping models, creating datasets, and applying RL for optimization. | Post-trainServe | 8 |
| Senior Scientific Machine Learning Engineer – Earth-2 Develops and enhances machine learning frameworks (NVIDIA PhysicsNeMo, NVIDIA Earth2Studio) for scientific ML technology in weather, climate, and earth system modeling. Focuses on implementing new deep learning techniques and enhancing Earth-2 technologies. | Post-train | 8 |
| Senior Product Manager, AI Frameworks Product Manager for AI Frameworks at NVIDIA, focusing on Recommender Systems and Generative Recommendation Models. The role involves building products for frontier RecSys and Generative Recommendation Models on Nvidia systems, enabling researchers and operators, and pushing the boundaries of what is possible in research-to-production. Responsibilities include creating and optimizing pre-training/inference and post-training frameworks, developing product strategy, roadmaps, and go-to-market plans, and collaborating with internal and external customers. Requires experience with training/inference post-training and optimization software, GenAI/ML concepts, large-scale distributed systems, and technical product management. | Post-trainServe | 8 |
| Senior System Software Engineer, 3D Computer Vision Senior System Software Engineer focused on 3D Computer Vision at NVIDIA, involving the development and deployment of advanced neural reconstruction models for generating 3D scenes. The role requires strong programming skills in Python and C/C++, a background in computer vision and deep learning, and experience with production-grade software development. | Post-trainServe | 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 |
| 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 |
| 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 |
| Product Manager - Open Models Product Manager for Open Models at NVIDIA, focusing on community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. The role involves collaborating with model builders, tracking trends, supporting product marketing, enabling support for open models across inference, fine-tuning, and evaluation, and facilitating feedback loops. Requires 7+ years of product management experience, knowledge of the community model ecosystem, and comfort with Python code. | Post-trainServe | 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 |