Senior Kubernetes Runtime Lead - GPU AI Platform

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 272,000 - 431,000

Full time

8 days ago

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Benefits offered by this job

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Job summary

NVIDIA Corporation is seeking a technical leader to head the Runtime Engineering team for the NVIDIA Kubernetes Engine (NKE). You will drive the lifecycle of tenant workload clusters, ensure reliability, scalability, and security across the platform, and coordinate with cross-functional teams to deliver a production-grade Kubernetes runtime.

You will manage architecture decisions for networking, storage, and GPU resource partitioning, and contribute to open sources.

Qualifications

12+ years in designing and delivering large-scale distributed software systems.
5+ years of people-management leading software teams.
Experience bridging runtime, networking, and security across orgs.

Responsibilities

Oversee build, implementation and reliability of cluster configurations for NKE tenant workloads.
Lead a team coordinating the container runtime stack: AICR, GPU management operator, DCGM.
Drive architecture decisions for cluster networking, storage, and GPU resource partitioning.
Define cluster hardening standards, RBAC models, and multi-tenancy boundaries.
Collaborate with platform, infra, and cybersecurity teams to integrate capabilities.
Build tooling for AICR lifecycle management: provisioning, upgrades, drift detection.