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 |
|---|---|---|
| Machine Learning Engineer - Humanoid Robotics Machine Learning Engineer focused on humanoid robotics, developing and advancing foundation models (GR00T, Cosmos) for loco-manipulation, and implementing algorithms for real-world robot deployment. The role involves robot learning, synthetic data generation, and sim-to-real transfer. | AgentData | 9 |
| Senior Capability Development Engineer NVIDIA is seeking a Senior Capability Development Engineer to develop and enhance internal RAG and Agent platforms for Ops Engineering productivity. The role involves developing, training, fine-tuning, and deploying multimodal LLMs, building LLM-based applications (RAG, TEXT2SQL, Agents), applying advanced tuning techniques, measuring performance, analyzing accuracy/bias, and driving dataset development. Requires strong Python skills, familiarity with ML/DL frameworks and LLMs, and practical experience with LLM training frameworks. |
| AgentPost-train |
| 9 |
| Senior AI Engineer, Agents and Developer Workflows Senior AI Engineer role focused on developing and deploying AI agents and LLM-based solutions to automate software engineering workflows within NVIDIA. The role involves creating tools to improve developer efficiency, accelerate feedback loops, and enhance release reliability, with a focus on predictive modeling for risk identification and leveraging RAG and fine-tuning techniques. | Agent | 8 |
| Applied AI Engineer - Silicon Co-Design Group NVIDIA is seeking an Applied AI Engineer to design, develop, and integrate AI/LLM-powered systems into their chip design and automation infrastructure. The role involves architecting and implementing solutions to enhance workflow efficiency, scalability, and intelligence, driving initiatives from concept to deployment. Requires hands-on experience building and deploying ML/AI systems or data-intensive backend services, with a focus on owning AI agents or LLM-powered workflows end-to-end. | Agent | 8 |
| Senior Solutions Architect, CSP System Senior Solutions Architect focused on building and optimizing Kubernetes infrastructure for Agentic AI and Agentic RL workloads, working with Cloud Service Providers in China. | AgentServe | 8 |
| Senior Software Engineer, Robotics - Isaac Lab NVIDIA is seeking a Senior Software Engineer for their Isaac Lab team to develop features for a robot learning platform, focusing on reinforcement learning, multi-agent learning, and sim-to-real deployment. The role involves automating workflows, scaling in the cloud, and collaborating with research teams on next-generation robots. | AgentData | 8 |
| Senior AI Infrastructure Software Engineer Senior AI Infrastructure Software Engineer at NVIDIA, focusing on building and scaling infrastructure for AI agents and applications in chip design. The role involves designing, developing, and improving scalable infrastructure, driving performance and reliability improvements, and collaborating with research and hardware teams. Requires expertise in Python, distributed systems, microservices, and integrating LLMs/agent frameworks. | AgentServe | 8 |
| Infrastructure Software Engineer, Deep Learning Libraries NVIDIA is seeking an Infrastructure Software Engineer to enable next-generation deep learning libraries by designing and developing scalable automation for build, test, integration, and release processes. The role involves developing and deploying AI agents to automate the software development cycle and configuring industry-standard tools, with a focus on open-source products like CUTLASS. | Agent | 7 |
| Applied AI Engineer, Product Convergence and Closure NVIDIA is seeking an Applied AI Engineer to rebuild their silicon toolchain using AI. The role involves building infrastructure to transform raw simulation data into firmware tuning, product specs, and manufacturing limits, automating analysis and validation using LLMs and agents, and developing observability systems. The engineer will work with various teams to translate hardware requirements into production workflows. Requires 4+ years of Python production experience and hands-on LLM application in engineering problems, with a focus on data quality and distinguishing useful AI tools from hype. | AgentServe | 7 |
| Senior Robotics DevTech Engineer NVIDIA is seeking a Senior Robotics DevTech Engineer in China to act as a technical bridge between the robotics community and the global NVIDIA Omniverse platform team. The role involves supporting local robotics partners, building expertise in Isaac workflows, enabling partner iteration, and contributing to the product roadmap through market intelligence. Responsibilities include local ecosystem triage and support, developing expertise in robotics simulation tools, translating partner needs to engineering, and generating regional insights. | AgentData | 7 |