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 |
|---|---|---|
| Product Manager, AI Platform SW - Agentic AI Kernel Generation Product Manager for NVIDIA's Agentic AI Platform, focusing on AI agents that generate, optimize, and deploy GPU kernels. The role involves defining product strategy, roadmaps, and end-to-end product lifecycles, from data generation and evaluation to deployment and continuous improvement, in collaboration with engineering, research, and customers. | AgentData | 9 |
| Senior Director - GenAI Data Strategy Senior Director role focused on defining and executing a comprehensive data strategy for foundation models, encompassing multi-modal data acquisition, curation, synthetic generation, and alignment techniques like RLHF. This role bridges research insights with data collection to improve model performance and safety, and engages with customers to translate deployment gaps into data priorities. |
| 9 |
| Senior Product Engineer, Agentic AI Product leader and builder to define and drive Agentic AI products and platforms, bridging product vision with deep technical execution. Focus on translating early-stage innovations into scalable, production-ready systems for agentic AI workflows. | Agent | 8 |
| Senior Architect NVIDIA is seeking a Senior Architect to lead the development of software infrastructure for AI-driven scientific discovery in chemistry and materials science. The role involves shaping NVIDIA ALCHEMI and its ecosystem, translating AI research (ML interatomic potentials, generative modeling) into product direction, and engaging with internal/external stakeholders. The ideal candidate has a PhD or equivalent experience, 8+ years of AI/ML software development for chemistry/materials, strong GPU computing and ML framework experience, and expertise in scientific software architecture. | Ship | 8 |
| Senior Product Manager, AI Frameworks Product Manager for AI Frameworks at NVIDIA, focusing on Recommender Systems and Generative Recommendation Models. The role involves building products for frontier RecSys and Generative Recommendation Models on Nvidia systems, enabling researchers and operators, and pushing the boundaries of what is possible in research-to-production. Responsibilities include creating and optimizing pre-training/inference and post-training frameworks, developing product strategy, roadmaps, and go-to-market plans, and collaborating with internal and external customers. Requires experience with training/inference post-training and optimization software, GenAI/ML concepts, large-scale distributed systems, and technical product management. | Post-trainServe | 8 |
| Senior Product Manager, AI Inference - Dynamo Product Manager for NVIDIA Dynamo, a distributed inference framework for LLMs and Generative AI. Focuses on defining the roadmap for high-scale serving, optimizing hardware-software co-design, and developing agentic inference capabilities. Collaborates with engineering, open-source communities, and customers to integrate model evaluation into workflows. | ServeAgent | 8 |
| Technical Marketing Engineer This role leads complex, cross-functional programs for next-generation generative AI systems, focusing on media content creation. It involves translating research into execution roadmaps, defining program plans, and managing model release readiness across various stages from research to product integration. The role requires strong program management skills in AI/ML and a solid understanding of generative AI systems. | ShipPretrain | 8 |
| Senior Developer Relations Manager – AgentOps NVIDIA is seeking a Senior Developer Relations Manager to foster strategic partnerships with ISVs developing AgentOps platforms and services. This role involves evangelizing NVIDIA's accelerated computing and AI technologies, managing partner relations, driving technical integration, and influencing NVIDIA's product roadmap based on partner feedback. The ideal candidate has a strong technical background in MLOps, LLMOps, GenAIOps, AgentOps, generative AI, agentic AI, and accelerated computing, along with strategic market understanding and ecosystem development experience. | Agent | 7 |
| Senior Product Manager, Local AI and Agents for Enterprise Product Manager for local AI and agents on Linux for enterprise, focusing on defining agent use cases, owning the product strategy for Linux developer experience, and collaborating with inference backend teams. Requires strong AI/ML and developer tools experience, with a focus on enterprise deployments and modern AI workflows. | AgentServe | 7 |
| Senior Product Manager – AIOps Product Manager for NVIDIA's AIOps software product, focusing on AI Factories. The role involves defining product strategy, working with engineering, sales, and marketing, and driving customer adoption using AI and agentic techniques to build a scalable platform. | Agent | 7 |
| Senior Technical Product Manager - AI Infrastructure Senior Technical Product Manager at NVIDIA focused on AI Infrastructure, driving the roadmap for Enterprise Infrastructure products like NVIDIA DGX and Networking. The role involves defining product strategy, creating go-to-market collateral, and engaging with customers and internal teams to improve AI developer efficiency and data center solutions. Requires deep understanding of AI/ML infrastructure, HPC, cloud technologies, and AI/ML concepts like LLMs and Gen AI. | Serve | 7 |
| Senior Technical Program Manager - Robotics NVIDIA is seeking a Senior Technical Program Manager to drive robotics initiatives, focusing on foundation models, simulation-to-real workflows, and edge deployment. The role involves owning program execution across research, engineering, and product teams to ship robotics solutions at scale, requiring hands-on robotics experience and strong TPM skills. | Agent | 7 |
| Senior Technical Product Manager, Planning and Controls - Autonomous Vehicles NVIDIA is seeking a Senior Technical Product Manager to define and build the future of their self-driving software, focusing on planning and controls for autonomous vehicles. The role involves understanding technical aspects of classical and AI planners, identifying problems, designing solutions, prioritizing roadmaps, and collaborating with engineering teams to deliver advanced planning and controls technology for L4 robotaxis. | Agent | 7 |
| Product Manager - Open Models Product Manager for Open Models at NVIDIA, focusing on community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. The role involves collaborating with model builders, tracking trends, supporting product marketing, enabling support for open models across inference, fine-tuning, and evaluation, and facilitating feedback loops. Requires 7+ years of product management experience, knowledge of the community model ecosystem, and comfort with Python code. | Post-trainServe | 7 |