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 |
|---|---|---|
| Validation Data Scientist, Verification and Validation - Autonomous Vehicles The Validation Data Scientist will build tooling, perform large-scale analysis, and drive data-driven evaluation of vehicle-level behavior and Operational Design Domain (ODD) coverage during scaled testing for autonomous vehicles. This role involves building and improving evaluation frameworks, data pipelines, and data curation strategies, defining core metrics, and automating scalable workflows using cloud platforms and AI. The goal is to influence product development, technical reviews, and software releases by providing quantitative analyses and clear reporting. | Eval GateData | 7 |
| Validation Data Engineer, Verification and Validation - Autonomous Vehicles NVIDIA is seeking a Validation Data Engineer for its Autonomous Vehicles team. The role involves building tooling, performing large-scale analysis, and driving data-driven evaluation of vehicle-level behavior and ODD coverage using real-world and virtual AV driving logs. Responsibilities include implementing evaluation frameworks, data pipelines, and data curation strategies, defining core metrics, and contributing to scalable workflows using cloud platforms and AI. The ideal candidate has 5+ years of experience in data engineering or analytics, strong Python skills, and experience with autonomous vehicle behavior analysis. |
| Eval Gate |
| 7 |