NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
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 |
|---|---|---|
| Machine Learning Intern - AI Agents Conversational AI NVIDIA is seeking a Machine Learning Intern to support the development of AI agents for workflow automation and intelligent assistants. The role involves working on conversational AI, LLM applications, RAG systems, and speech AI workflows, building prototypes with NVIDIA AI technologies, and assisting with evaluation and deployment. The ideal candidate is pursuing a degree in a related field, has experience with machine learning, strong Python skills, and familiarity with Linux. | AgentServe | 8 |
| 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 |
| Machine Learning Intern - 2026 NVIDIA is seeking a Machine Learning Intern to assist with developing demonstrations using NVIDIA SDKs, algorithmic development, and AI software development. The role involves keeping up with the latest NVIDIA technology, building demos, and engaging the AI community through workshops. | Serve | 8 |
| Machine Learning Intern - 2026 NVIDIA is seeking a Machine Learning Intern to assist with AI technology development and demonstrations. The intern will work with NVIDIA SDKs, engage with the AI community, and contribute to machine learning projects and AI software development. | Serve | 8 |