Senior Product Manager, Local AI and Agents for Enterprise

We are looking for a technical and hands‑on Product Manager to lead our product efforts for local AI on Linux and developers. Client AI is the technology platform built on top of NVIDIA's client hardware—GeForce RTX, RTX PRO, DGX Spark, DGX Station, and N1X—to enable AI and agents, content creation, and developer workflows. This Product Manager will define how developers, researchers, and enterprise teams build, run, and deploy AI on NVIDIA client platforms running Linux, with a strong focus on enterprise. What You'll Be Doing Define and lead the enterprise agent use case—understand how enterprises deploy agents on‑prem, what they need from the platform, and where NVIDIA should invest. Collaborate with Product Managers working on cloud inference backends (vLLM, SGLang, TensorRT‑LLM, and PyTorch) to drive and prioritize requirements for local AI. Own the product strategy and roadmap for the Linux developer experience on NVIDIA client platforms (DGX Spark, DGX Station, RTX PRO workstations, RTX Spark). Research the developer and enterprise AI ecosystem: interview customers, build personas and user journeys, and map workflows across training, fine‑tuning, inference, and agent deployment. Work hands‑on with the latest models, frameworks, and agent tooling to represent the developer’s point of view in every decision. Lead cross‑functional teams—engineering, DevRel, marketing, partnerships—to ship features and grow adoption. Influence NVIDIA’s GPU, system, and software roadmaps based on what Linux developers and enterprise AI teams actually need. Build product positioning, technical demos, and sales and partner enablement material for a developer audience. What We Need To See 8+ years of product management experience, with meaningful time on AI/ML, developer tools, or infrastructure products. First‑hand experience as a developer or engineer—shipping code in production and debugging CUDA, PyTorch, or Docker issues alongside an engineer. Deep familiarity with modern AI workflows: training and fine‑tuning, inference serving, agent frameworks, RAG pipelines, and evaluation. Working knowledge of at least one major inference backend (vLLM, SGLang, TensorRT‑LLM, or PyTorch‑based serving). Fluency in Linux as a development and deployment environment. Strong written communication and the ability to translate technical depth for both engineers and executives. Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent experience. Ways To Stand Out From The Crowd Prior role as an AI/ML engineer, inference systems engineer, or application developer building with LLM APIs and agent frameworks (LangChain, LlamaIndex, MCP). Experience with model optimization—quantization, distillation, speculative decoding, KV‑cache strategies. Hands‑on with CUDA, Triton, or low‑level GPU programming. Background in enterprise software, on‑prem deployments, or private AI. Open‑source contributions to AI/ML, inference, or agent projects. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $168,000–$258,750 for Level 4 and $208,000–$327,750 for Level 5. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr PMs for Hire