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 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 |
| 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 |
| Research Scientist, Quantum Computing and AI - New College Grad 2026 Research Scientist role at NVIDIA focusing on the intersection of AI and Quantum Computing. The role involves training AI models for quantum systems, advancing research in quantum simulation, and developing GPU-accelerated quantum tools. Requires a PhD, strong programming skills (Python, C++, PyTorch, JAX, CUDA), and a publication record in AI for quantum science or accelerated quantum simulations. | Data | 9 |
| 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 |
| 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 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 |
| 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 |