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 |
| Software QA Test Developer NVIDIA is seeking a Software QA Test and Tool Developer for their Automotive Platform team. The role involves designing, executing, and automating test cases for automotive platforms, architecting test automation frameworks, and developing test libraries. A key aspect is understanding and evaluating AI-native development tools, LLM failure modes, and building evaluation frameworks for AI-generated outputs, with experience in prompt engineering and LLM-based agents being a plus. | Agent | 5 |
| Senior System Software Engineer - Graphics Senior System Software Engineer at NVIDIA focusing on DirectX Graphics Drivers, with a significant emphasis on exploring and building AI agents to automate engineering workflows like debugging, testing, and code analysis. The role involves developing AI-based post-processing features and fundamental software stacks for AI in graphics, and improving developer efficiency through AI. | Agent | 5 |