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 |
|---|---|---|
| Solutions Architect, Model Builder - LATAM Solutions Architect focused on building and deploying agentic AI applications and enterprise agents, with a strong emphasis on localization, performance optimization, and leveraging NVIDIA's AI infrastructure. | AgentServe | 9 |
| Capacity Operations and Analytics Manager NVIDIA is seeking a Capacity Operations and Analytics Manager to optimize GPU and compute resource utilization across cloud providers. The role involves building data models, reporting systems, and dashboards to support capacity decisions, analyzing technical and business needs, identifying performance bottlenecks, and driving infrastructure resource efficiency. The manager will also develop tooling for cloud infrastructure and analytics, potentially leveraging AI techniques for insights, and partner with various teams to align capacity management with company goals. A strong background in cloud computing, GPU capacity management, data analytics, and statistical modeling is required, with experience in leveraging AI tools for resource optimization being a plus. |
| — |
| 5 |
| Senior Developer Relations Manager, Brazil Senior Developer Relations Manager for NVIDIA in Brazil, focused on building strategic partnerships with enterprises, ISVs, and startups to drive the adoption and deployment of AI solutions powered by NVIDIA technologies. The role requires a strong technical foundation, business acumen, and deep understanding of the regional AI landscape, acting as a technical advisor and collaborator to guide customers through integration and co-innovation. | — | 5 |
| Senior Formal Verification Engineer Senior Formal Verification Engineer at NVIDIA to ensure the functional correctness and completeness of next-generation chip designs, collaborating with architects and designers using advanced formal techniques. | — | 0 |