Hiring: Product Manager, AI Platform SW - Agentic AI Kernel Generation Company: NVIDIA Location: Santa Clara, CA Job Posted Time: 2026-09-09 17:59:08 Employment Type: Full-time Target Skills & Keywords: Agentic AI, LLM, Coding Agents, Multi-Agent Orchestration, CUDA Kernels, GPU Kernel Optimization, AI/ML Infrastructure, High-Performance Computing, Compilers, Evaluation Suites, Synthetic Data Generation, Inference & Training, Product Management Experience: - 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 - Experience with multi-agent orchestration and self-healing or code loops that improve over time - Experience connecting agents to compilers or execution environments - Proven record of crafting and releasing automated testing or evaluation suites measuring agents on non-subjective metrics such as correctness, performance, and latency Required Skills: - Define end-to-end data lifecycle for agent training and evaluation, including dataset curation, synthetic 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 - Architect agent-focused products that let coding agents generate, refactor, and optimize CUDA kernels and graph-level execution plans across diverse GPU architectures - Act as internal champion for AI agents and LLM-based coding workflows that generate optimized kernels Qualifications: - BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience in parallel computing architectures and systems - PhD or equivalent experience in Computer Engineering, Computer Science, or another technical specialty (preferred) - Track record building or launching coding-agent platforms or copilots used by development teams at scale - Contributions to performance-critical open-source projects (e.g., Triton, TVM, FlashAttention, kernel libraries, agent frameworks) with clear community adoption and impact (preferred) - Research experience in GPU kernel optimization, collective or group communication algorithms, multi-agent systems, or ML model serving/inference architectures (preferred) - Experience crafting cost-per-inference or cost-per-token models incorporating hardware utilization, energy efficiency, and cluster scaling (preferred) Compensation: Not specified in the job posting. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!