This role pays more than
91%
of similar roles. Most pay
$178,175–$235,750
— the shaded band above.
At the midpoint, this role pays about
$268k
versus about
$207k
for comparable roles.
Based on 240 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 Senior Product Manager, Kubernetes Accelerated Runtime, you will join the team to lead the AI Cluster Runtime project and define the standard for running GPU software stacks on Kubernetes. You will be responsible for setting product direction, expanding coverage across various accelerators, clouds, and workloads including training and inference, while ensuring the stack remains trustworthy through version-locked recipes with supply-chain provenance. The role involves representing the project to customers, partners, and the open-source community. Key technical requirements include expertise in Kubernetes GPU stacks, cluster provisioning, operators, drivers, and scheduling. You will work with GitOps tools like Helm, Argo CD, or Flux, while managing complexities involving kernel and driver compatibility. Preferred skills include experience with DGX systems, GPU Operator, and supply-chain security standards such as SLSA, SBOMs, Sigstore, or Cosign.
What does a Product Manager earn in California?
Median $223300 from 163 postings across 44 companies.
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architectures