Product Manager, AI Platform SW - Agentic AI Kernel Generation

We're building the next generation of agentic AI infrastructure that lets coding agents synthesize, optimize, and deploy GPU kernels automatically. As a Product Manager, you will act as the internal champion for AI agents and LLM-based coding workflows that generate optimized kernels. You'll partner closely with engineering, research, and customers to define strategy, develop roadmaps, and build products that span the entire agent lifecycle , from data collection and synthetic data generation to evaluation, deployment, and continuous improvement.

Your key responsibilities will include:

• Architecting agent-focused products that let coding agents generate, refactor, and optimize CUDA kernels and graph-level execution plans across diverse GPU architectures.
• Defining 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.
• Partnering with CUDA, kernel, and compiler engineering teams to integrate agents with compilers, profilers, execution sandboxes, and runtimes in a safe, observable way.
• Collaborating 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.

To succeed in this role, you will need:

• 7+ years of technical product management or closely related experience shipping developer or platform products in AI, ML infrastructure, or high-performance computing.
• Proven experience in the AI agent or LLM space, including developing or productizing coding agents.
• A proven record of crafting and releasing automated testing or evaluation suites.
• A BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience in parallel computing architectures and systems.