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Product Manager, AI Platform SW - Agentic AI Kernel Generation

NVIDIA· Product Management
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Santa Clara, CA$168k - $327.8kfull-timePosted 5mo ago

About the role

Product management role focused on agentic AI infrastructure to generate, optimize, and deploy GPU kernels and related runtimes. Build end-to-end products spanning data collection, synthetic data generation, evaluation, deployment, and continuous improvement for AI agents and LLM-based coding workflows.

Responsibilities

  • Architect agent-focused products that let coding agents generate, refactor, and optimize CUDA kernels and graph-level execution plans across diverse GPU architectures.
  • Define the end-to-end data lifecycle for agent training and evaluation, including dataset curation, artificial data creation, and benchmark suites for correctness, latency, and adaptability.
  • Partner with CUDA, kernel, and compiler engineering teams to integrate agents with compilers, profilers, execution sandboxes, and runtimes in a safe, observable way.
  • Collaborate with internal and external developers, NVIDIA leaders, and ecosystem partners to drive multi-agent orchestration, prioritize features, and deliver launches and messaging for agentic AI kernel generation.

Qualifications

  • 7+ years of technical product management or closely related experience shipping developer or platform products in AI, ML infrastructure, or high-performance computing; end-to-end ownership and impact.
  • Proven experience in the AI agent or LLM space, including developing or productizing coding agents. Experience with multi-agent orchestration and self-healing or code loops that improve over time. Connecting agents to compilers or execution environments.
  • Proven record of crafting and releasing automated testing or evaluation suites measuring agents on non-subjective metrics (correctness, performance, latency).
  • BS or MS in Computer Engineering, Computer Science, or related technical field, or equivalent experience in parallel computing architectures and systems.

Skills

Required:Technical product managementAI agent / LLM product experience

Benefits

  • equity
  • benefits (see NVIDIA benefits)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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