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 |
|---|---|---|
| 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 |
| 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 |
| 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 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 |
| 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 |
| Principal High-Performance LLM Training Engineer NVIDIA is seeking a Principal Engineer to lead performance analysis and optimization of large-scale AI training and post-training workloads on NVIDIA's hardware and software stack. The role involves deep technical analysis across compute, memory, communication, and frameworks to improve efficiency and influence future roadmaps. | PretrainPost-train | 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 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-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 |
| Senior Research Engineer, Foundation Model Training Infrastructure Senior/Principal Engineer to build cutting-edge infrastructure for large-scale foundation model training in the Generalist Embodied Agent Research (GEAR) group, focusing on Project GR00T for humanoid robots. Responsibilities include designing and optimizing distributed training systems, data loaders, and monitoring tools for multimodal foundation models. | PretrainPost-train | 9 |
| Senior LLM Train Framework Engineer NVIDIA is seeking a Senior LLM Train Framework Engineer to contribute to the Megatron Core team, focusing on building and developing open-source frameworks for LLM and Multimodal foundation model pretraining and post-training. The role involves addressing AI training and inference challenges across the model lifecycle, enhancing distributed training strategies, and optimizing performance on NVIDIA GPUs. | PretrainPost-train | 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 |
| 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 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 |