Senior Manager, Kubernetes Runtime Engineering

NVIDIA

. Lead the Runtime Engineering team responsible for the full configuration lifecycle of NVIDIA Kubernetes Engine (NKE) tenant workload clusters .

Posted 9/30/2026full-timeUnited StatesSenior💰 $272,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Runtime Engineering teams, managing complex Kubernetes configurations, and ensuring operational reliability across distributed systems. Proficient in cluster lifecycle management, security standards, and effective communication with cross-functional teams.

Highest-signal resume keywords

Kubernetes Internals KnowledgeCluster Lifecycle ManagementPeople-Management ExperienceNVIDIA GPU Operator ExperienceOpen Source Contributions

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Applicant Tracking System Keywords

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Hard Skills

Cluster APIKubeadmCIS Kubernetes BenchmarkAPI Design and ImplementationContainer Runtime Stack ManagementCluster Networking (CNI)Storage Management (CSI)Pod Security PoliciesMulti-Tenancy IsolationGPU Resource Partitioning

Soft Skills

Effective CommunicationCoaching SkillsProblem SolvingTechnical PlanningCross-Organization Consensus Building

Tools & Technologies

NVIDIA Kubernetes Engine (NKE)AICRDCGMIdentity and Access ManagementGPU Node Pools

Certifications & Qualifications

BS/MS Degree in Computer Science or Related Field

Industry Keywords

Distributed Software SystemsProduction-Critical SoftwareRuntime EcosystemHyperscale KubernetesSecurity Standards

Tech Stack

Tools & technologies

Cyber SecurityKubernetesNode.jsOpen Source

About the role

Key responsibilities & impact

Lead the Runtime Engineering team responsible for the full configuration lifecycle of NVIDIA Kubernetes Engine (NKE) tenant workload clusters
Build, implement, and ensure operational reliability of cluster configurations for NKE tenant workloads across supported topologies
Manage engineers coordinating the container runtime stack, including 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 capabilities and resolve runtime concerns
Build and maintain tooling for AICR lifecycle management, including 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 where NKE has upstream dependencies or influence

Requirements

What you’ll need

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
5+ years of people-management experience leading, developing, and scaling high-performing software engineering teams responsible for complex, production-critical software
Experience leading engineers with varying specializations and seniority levels across runtime, networking, and security
Kubernetes internals knowledge, including scheduler, kubelet, API server, and admission controllers
Cluster lifecycle management experience with Cluster API, kubeadm, or equivalent
Experience leading fleet-scale cluster provisioning and upgrades
Knowledge of CIS Kubernetes Benchmark, pod security admission, image signing, and supply chain integrity
Ability to design and implement maintainable APIs for consumers
Familiarity with Identity and Access Management approaches
Ability to manage up, down, and across organizations
Ability to reach cross-organization consensus
Prior experience with NVIDIA GPU Operator, DCGM Exporter, or NVLink-aware scheduling
Experience running Kubernetes at hyperscale with GPU node pools
Track record of upstream open source contributions in the Kubernetes or open source runtime ecosystem
Effective written, verbal, and engineering-leadership communication skills
Skills in coaching, analysis, problem solving, and short/long-term technical planning

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity
Benefits for you and your family