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 |
|---|---|---|
| Senior AI Safety Red Teamer NVIDIA is seeking a Senior AI Safety Red Teamer to improve the safety and security posture of their AI models, systems, and infrastructure. The role involves hands-on safety and security research, developing tools to expose weaknesses, defining safety standards, and partnering with cross-functional teams. Requires 5+ years of experience in AI safety/security and offensive cybersecurity, with knowledge of AI vulnerabilities, LLMs, MLLMs, Generative AI, Agents, and RAG workflows, and strong Python programming skills. | Eval GateAgent | 9 |
| Senior Deep Learning Engineer - Model Evaluation & AI Systems Senior/Principal Deep Learning Engineer focused on building evaluation methodologies and infrastructure for AI models (LLMs, RAG, agents, vision/multimodal), including contributing to an open-source platform and collaborating with the community. The role involves working with model training, inference, and product teams to provide evaluation signals for release and optimization decisions. |
| Eval GateAgent |
| 9 |
| Senior Software Engineer, Agentic Systems Senior Software Engineer to build NeMo Platform, focusing on NeMo Evaluator for developing, evaluating, deploying, and operating AI systems at scale. The role involves designing and implementing Python APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents, with a strong emphasis on agentic development and automated improvement. | Eval GateAgent | 7 |
| SWQA Development Engineer Software QA Development Engineer at NVIDIA responsible for test planning, execution, and reporting, including writing scripts for test automation, designing and developing tools for the QA team, and developing integration tests. The role requires experience with AI development tools, model testing, and LLM benchmarking. | Eval Gate | 7 |