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 Software Engineer, Parking - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicles team, focusing on building groundbreaking technology at the intersection of automotive and robotics for parking and driving features. The role involves designing and implementing planning algorithms in C++ and supporting deployment on test vehicles. | Agent | 7 |
| Autonomous Agent Engineer NVIDIA is seeking an Autonomous Agent Engineer to build the infrastructure for secure and autonomous AI agent execution. This role involves designing and shipping SDKs, CLIs, and developer tooling for sandboxed compute environments, state management, and security boundaries for AI agents. The position requires strong systems engineering skills, experience with distributed systems and developer platforms, and proficiency in languages like Python or Go. Experience with agentic AI systems, sandboxing technologies, and security fundamentals is highly desirable. |
| 7 |
| Senior Manager, Software Engineering - Agentic Automation Senior Manager, Software Engineering at NVIDIA focused on leading a team to design and deliver enterprise-grade agentic AI solutions, including LLM-based agents, RAG, and orchestration, with a strong emphasis on full-stack ownership, automation, and roadmap definition. | AgentServe | 7 |
| Principal Software Engineer — Agentic AI Applications and Foundations Principal Software Engineer to lead the development and hardening of agentic AI applications and infrastructure within NVIDIA's Enterprise AI team. This role focuses on improving reliability, performance, and scalability of AI products, designing resilient systems, establishing operational excellence, and building reusable capabilities for agent domains. The position requires deep expertise in production software systems, full-stack development, and modern AI application patterns, with a strong emphasis on turning prototypes into mature, well-operated production systems. | Agent | 7 |
| Manager, Solution Engineering for NVIDIA Experience Manager for a solution engineering team focused on customer support of NVIDIA software products (AI Enterprise, Omniverse, vGPU). The team will use AI to triage customer issues, identify solutions, and improve processes. Requires leadership, problem-solving, and AI/ML expertise. | AgentServe | 7 |
| Senior Architect, AI Solutions Engineering This role focuses on architecting and scaling internal AI solutions for NVIDIA's cloud infrastructure, managing tools for AI development, identifying performance bottlenecks, and guiding engineers in solving complex AI-related problems. The role involves a mix of building AI agentic workflows and optimizing the underlying inference infrastructure. | AgentServe | 7 |
| Senior Localization Engineer - Autonomous Vehicles Senior Localization Engineer for Autonomous Vehicles at NVIDIA, focusing on building robust map-enhanced autonomous driving solutions with ASIL safety requirements. The role involves localizing to map data for precise environmental modeling, ensuring algorithms perform across diverse data and conditions, and writing efficient C++ code using CUDA for GPGPU programming, with a focus on productizing software for automotive standards. | Agent | 7 |
| Senior Applications Software Engineer, Planning and Control Senior Software Engineer role focused on shaping application architecture for autonomous vehicles, integrating and adapting NVIDIA solutions, and refining planning and control systems. Requires strong background in control theory, motion planning, deep learning, and C++/Python development. | Agent | 7 |
| Senior Robotics Systems Software Engineer - ROS Senior Software Engineer on the Robotics Team at NVIDIA, focusing on the NVIDIA Isaac ROS platform. The role involves designing and developing software frameworks for robots to perceive and interact with the world using learned policies, improving the ROS ecosystem, and debugging/optimizing ROS-based autonomy stacks. Experience with ROS, distributed systems, embedded software, C/C++, and deep learning applications for physical agents is required. | AgentData | 7 |