NVIDIA
Senior Manager, Kubernetes Runtime Engineering
$272K–$431K
US, CA, Santa Clara +1 · Manager · Full-time · Posted Sep 29, 2026
- Location
- US, CA, Santa Clara
US, WA, Seattle - Experience
- 12+ years of relevant experience, including 5+ years of people-management experience.
- Education
- BS/MS degree in Computer Science or related field (or equivalent experience).
About the job
Leads the Runtime Engineering team responsible for the configuration lifecycle, reliability, and security of NVIDIA Kubernetes Engine tenant workload clusters.
What you'll do
- Lead engineers building and operating cluster configurations and the container runtime stack, including AICR and GPU-related components.
- Set architecture for networking, storage, high availability, GPU resource partitioning, cluster hardening, and multi-tenant isolation.
- Manage AICR lifecycle tooling and partner across teams on runtime integration, architecture reviews, planning, and customer communications.
What they ask for
- BS/MS in Computer Science or a related field, or equivalent experience.
- Kubernetes internals knowledge, including scheduler, kubelet, API server, and admission controllers.
- Experience with cluster lifecycle management and fleet-scale provisioning and upgrades using Cluster API, kubeadm, or equivalent.
- Experience with security and compliance practices, maintainable API design, and Identity and Access Management.
Nice to have
- Experience with NVIDIA GPU Operator, DCGM Exporter, or NVLink-aware scheduling.
- Hyperscale Kubernetes experience with GPU node pools or upstream open source contributions in Kubernetes or a runtime ecosystem.
Pay
272,000 USD - 431,250 USD (base salary)
Tools
Kubernetes, NVIDIA AI Container Runtime (AICR), GPU management operator, DCGM, CNI, CSI, Cluster API, kubeadm
AI focus
Builds and leads engineering for the Kubernetes runtime platform supporting GPU workloads and AI at scale.
Model-written summary · the original posting is authoritative