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 |
|---|---|---|
| Developer Technology Engineer - AI NVIDIA is seeking an AI Developer Technology Engineer to collaborate with developers, optimize AI workloads on GPUs, research innovative AI techniques, and ensure peak performance on GPU architectures. The role involves developing and optimizing parallel algorithms and data structures, influencing next-gen architectures, and requires proficiency in C++, AI algorithms, and specific domains like multi-modal models or RL for LLMs. | ServePost-train | 8 |
| Senior System Software Engineer - Automotive Senior Software Engineer role focused on supporting NVIDIA's DRIVE OS software stack for automotive customers, involving system integration, BSP porting, and device driver development. Requires strong C/C++/Python, QNX/Linux OS knowledge, and experience with automotive systems. |
| 0 |
| Senior System Software Engineer, Drive AV Architect - Automotive Senior Software Engineer for NVIDIA's DRIVE OS & NDAS software stack, focusing on OEM alignment, SW architecture for driving functions (L2++), and customer support in the automotive domain. Requires strong C/C++ skills, embedded systems experience, and knowledge of ADAS/functional safety. | — | 0 |
| Senior System Software Engineer - Automotive Senior Software Engineer role focused on supporting NVIDIA's DRIVE OS software stack for automotive customers, involving system integration, BSP porting, and device driver development on Linux/QNX. | — | 0 |