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 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 |
| Research Scientist, Fundamental Generative AI - New College Grad 2026 Research Scientist role focused on fundamental generative AI research, pushing boundaries in image, video, 3D, or scientific applications. Requires a strong mathematical foundation, novel model development, and publication in top ML venues. The role involves designing and implementing large-scale generative AI methods, publishing original research, and collaborating with research and product teams. | 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, 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 HPC and AI Networking Performance Research and Analysis Engineer Research and analysis engineer focused on optimizing AI networking performance for large-scale LLM training on distributed GPU clusters, involving profiling, analysis, tool development, and collaboration across hardware and software teams. | PretrainServe | 9 |
| Senior Deep Learning Algorithm Engineer Senior Deep Learning Algorithm Engineer at NVIDIA to design, develop, and optimize core AI frameworks (Megatron Core, NeMo Framework) for LLM and Multimodal foundation model pretraining and post-training. The role involves implementing distributed training algorithms, model parallel paradigms, performance tuning, and expanding toolkits, working across the full model lifecycle from orchestration to deployment on NVIDIA GPU architectures. | 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 |