This role pays more than
51%
of similar roles. Most pay
$182,487–$246,150
— the shaded band above.
At the midpoint, this role pays about
$213k
versus about
$214k
for comparable roles.
Based on 239 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Product Manager, AI Platform SW - Agentic AI Kernel Generation on the AI Software Platforms team, you will architect products that enable coding agents to synthesize, optimize, and deploy GPU kernels across diverse architectures. You will manage the end-to-end data lifecycle for agent training and evaluation, including dataset curation, synthetic data creation, and benchmark suites for correctness and latency. The role involves partnering with engineering teams to integrate agents with compilers, profilers, execution sandboxes, and runtimes while driving multi-agent orchestration. Key technical domains include CUDA kernels, graph-level execution plans, and LLM-based coding workflows. You will utilize your expertise in high-performance computing, parallel computing architectures, and GPU kernel optimization to build tools that automate the generation of optimized inference and training solutions for developers within the agentic AI infrastructure space.
What does a Product Manager earn in California?
Median $223300 from 163 postings across 44 companies.
Agentic AI
AI Inference
RAG
Speculative Decode
Vector Databases
Model Serving
CPU
Datacenter Platforms
Cloud Infrastructure
Benchmarking
Performance Optimization