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 |
|---|---|---|
| Senior Tools Development Engineer This role focuses on building agentic infrastructure for test automation and quality engineering within the NVIDIA Omniverse platform. The engineer will design and deploy multi-agent systems, orchestration frameworks, and autonomous pipelines, with a strong emphasis on evaluating agent output quality and establishing observability for these workflows. The goal is to enable engineers to ship high-quality software with greater speed and confidence. | AgentEval Gate | 9 |
| Manager, Test and Tools Development Engineering Manager for a test and tools development engineering team focused on building autonomous systems and AI-powered quality infrastructure for Omniverse. The role involves leading a team to design agentic test pipelines, multi-agent orchestration for test generation, failure triage, and establishing evaluation frameworks for AI-generated outputs. |
| Agent |
| 8 |
| Applied AI Engineer - DFT Methodology NVIDIA is seeking an Applied AI Engineer to explore and architect generative AI solutions, including LLMs, RAGs, and Agentic AI workflows, for Design-for-Test (DFT) and VLSI problems. The role involves deploying predictive ML models for silicon lifecycle management and collaborating with VLSI/DFX teams to integrate AI solutions. Experience in applied ML for chip design and deploying generative AI for engineering use cases is required. | Agent | 8 |
| Senior Tools Development Engineer NVIDIA is seeking a Senior Tools Development Engineer to build agentic infrastructure for test automation and quality engineering on the Omniverse platform. The role involves designing and deploying multi-agent systems, orchestration frameworks, and evaluation systems to improve software quality and reliability. | Agent | 8 |
| Senior Software Engineer, Mapping - Autonomous Vehicles NVIDIA is seeking a Senior Software Engineer for their Autonomous Vehicles Mapping team. The role involves designing and developing algorithms for map-based driving products, architecture design, and implementing efficient in-vehicle code. Key responsibilities include researching and developing transformer models for graphs, implementing evaluation frameworks for LLMs, fine-tuning pretrained models, building automated map content analysis, and creating scalable map-building workflows. The role requires a background in computer vision, 3D geometry, machine learning, and heavy AI tool usage for development. | AgentPost-train | 7 |