Senior Product Manager, Local AI and Agents 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 on top of NVIDIA's client hardware — GeForce RTX, RTX PRO, DGX Spark, DGX Station, and N1X — that enables 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.

Generative AI is moving from the cloud to the workstation and the edge. Developers want to prototype, fine‑tune, and run frontier models locally. Enterprises want to deploy agents against their private data on‑prem. Inference stacks like vLLM, SGLang, Tensor

RT‑LLM, and PyTorch are becoming the default runtime for these workflows. This Product Manager will help NVIDIA win the Linux side of this shift — making our client platforms the best place to build and run modern AI.

• 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 that are working on cloud inference backends (vLLM, SGLang, Tensor
  
  RT‑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 so you can represent the developer's point of view in every decision.
• Lead cross‑functional teams — engineering, Dev Rel, 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.

• 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 — you have shipped code in production and can debug a CUDA, PyTorch, or Docker issue alongside an engineer, not just manage around it.
• 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, Tensor
  
  RT‑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.

• Prior role as an AI/ML engineer, inference systems engineer, or application developer building with LLM APIs and agent frameworks (Lang Chain, Llama Index, MCP).
• Experience with model optimisation — quantisation, 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 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted until May 8, 2026.

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.