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 |
|---|---|---|
| Principal Engineer, Autonomous Vehicles and Physical AI Solutions Principal Engineer for Autonomous Vehicles and Physical AI Solutions at NVIDIA, focusing on strategic automotive and robotics partnerships in Japan. The role involves tailoring NVIDIA's full-stack AI technologies (DRIVE AGX Thor, Alpamayo, Cosmos) to meet production-grade requirements of OEMs, bridging AI, system optimization, and safety architecture. Responsibilities include innovating with reasoning VLA models, ensuring engineering alignment for partnerships, representing NVIDIA in industry forums, serving as technical authority for RFIs/RFQs, and establishing standards for physical AI production deployment. | AgentShip | 9 |
| Solution Architect, Generative AI NVIDIA is seeking a Solution Architect to promote adoption and provide technical support for their GPU-accelerated computing solutions, focusing on generative AI, machine learning, and deep learning for enterprise clients in Japan. The role involves pre-sales activities, technical support for model training and deployment, and developing solutions for inference and agent-based systems. |
| ServeAgent |
| 8 |
| Manager, Solutions Architecture - Continuous Bringup and Optimization Manager of Solutions Architecture focused on leading a team to consult, optimize, and improve the resiliency of customer AI factory infrastructures, including GPU-accelerated systems and AI workloads. The role involves hands-on infrastructure analysis, tuning, and establishing optimization/monitoring methodologies for large-scale AI/HPC systems. | Serve | 7 |
| Solutions Architect Intern, Robotics - 2026 NVIDIA is seeking a Solutions Architect Intern focused on Robotics to support local partners and customers in Japan. The intern will work on setting up data augmentation pipelines and analyzing synthetic data's impact on VLA performance and generalizability, using tools like Isaac Sim and Cosmos. | DataAgent | 7 |