Product Manager, AI Platform SW - Agentic AI Kernel Generation
Product & Program Management
Originally posted 30 October 2026 by the employer. Relisted by the employer on 31 October 2026.
About the role
NVIDIA's AI Software Platforms team is hiring a Product Manager to guide agentic AI infrastructure that lets coding agents synthesize, optimize, and deploy GPU kernels automatically. You will define strategy, roadmaps, and products spanning the agent lifecycle across data collection, synthetic data generation, evaluation, and deployment.
What you'll do
- 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, leadership, and ecosystem partners to drive multi-agent orchestration, prioritize features, and deliver launches for agentic AI kernel generation.
What you'll 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, multi-agent orchestration, self-healing or code loops that improve over time, and connecting agents to compilers or execution environments.
- Proven record of crafting and releasing automated testing or evaluation suites that measure agents on metrics such as correctness, performance, and latency.
- BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience in parallel computing architectures and systems.
Skills: AI Platform SW, Agentic AI Kernel Generation, GPU kernels, ML infrastructure, CUDA kernels
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