← All roles

Senior Manager, Kubernetes Runtime Engineering

NVIDIA· Mgmt, Sys SW
Apply on company site
Santa Clara, CA, Seattle, WA$272k - $431.3kfull-timePosted 3w ago

About the role

Technical leader responsible for the Runtime Engineering team overseeing the full configuration lifecycle of NVIDIA Kubernetes Engine (NKE) tenant workload clusters, including cluster bootstrapping, node configuration, and container execution environment (AICR). Partners across networking, storage, GPU resource management, and security to deliver a production-grade, multi-tenant Kubernetes platform.

Responsibilities

  • Be responsible for the build, implementation, and operational reliability of cluster configurations for NKE tenant workloads across all supported topologies
  • Manage a team of engineers coordinating the entire container runtime stack: AICR, GPU management operator, DCGM, and related node-level components
  • Drive architecture decisions for cluster networking (CNI), storage (CSI), cluster HA , and GPU resource partitioning (MIG, MPS, time-slicing)
  • Define and implement cluster hardening standards, RBAC models, pod security policies, and multi-tenancy isolation boundaries
  • Partner with NKE platform, infrastructure, and cybersecurity teams to integrate new capabilities and resolve cross-cutting runtime concerns
  • Build and maintain tooling for AICR lifecycle management — provisioning, upgrades, configuration drift detection, and remediation
  • Represent the runtime team in architecture reviews, roadmap planning, and customer communications with NVIDIA leadership
  • Contribute to open source communities anywhere NKE has upstream dependencies or influence

Qualifications

  • BS/MS degree in Computer Science or related field (or equivalent experience)
  • 12+ overall years of relevant experience designing and delivering large-scale distributed software systems, including 5+ years of people-management experience leading, developing, and scaling high-performing software engineering teams responsible for complex, production-critical software
  • Experience leading a group of engineers with varying specializations and seniority levels — bridging runtime, networking, and security fields is a core part of this role
  • Kubernetes internals knowledge — not just usage; you understand how the scheduler, kubelet, API server, and admission controllers interact
  • Cluster lifecycle management experience — Cluster API, kubeadm, or equivalent; experience leading fleet-scale cluster provisioning and upgrades
  • Security and compliance posture — CIS Kubernetes Benchmark, pod security admission, image signing, supply chain integrity
  • Proven ability to design and implement maintainable APIs for consumers
  • Familiarity with Identity and Access Management approaches
  • Excel in managing up, down, and across organizations
  • Demonstrated ability to reach cross-organization consensus without all the details

Skills

Required:Team leadership and people managementKubernetes internalsCluster lifecycle managementSecurity and compliance

Benefits

  • equity
  • comprehensive benefits package (see NVIDIA benefits)
Last updated Oct 2, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA