Kubernetes Runtime Engineering Lead — GPU Platform

NVIDIA Corporation; Seattle (WA); On-site; USD 272,000 - 431,000; Full time

Job summary

NVIDIA Corporation's Kubernetes Engine team seeks a technical leader to guide the Runtime Engineering team responsible for the full configuration lifecycle of NKE tenant workload clusters.

You will oversee the container runtime stack (AICR, DCGM, GPU management) and drive architecture across networking, storage, and security to deliver a scalable, multi-tenant platform. This role requires deep Kubernetes knowledge and senior leadership experience.

Qualifications

• BS/MS degree in Computer Science or related field, or equivalent experience.
• 12+ years of experience designing and delivering large-scale distributed software systems.
• 5+ years of people-management experience leading software teams.
• Experience bridging runtime, networking, and security across orgs.
• Kubernetes internals knowledge: scheduler, kubelet, API server, admission controllers.
• Cluster lifecycle management: Cluster API, kubeadm, or equivalent.
• Security and compliance posture: CIS Kubernetes Benchmark, pod security, image signing.
• Ability to design maintainable APIs for consumers.
• Familiarity with Identity and Access Management approaches.
• Strong cross-organization consensus and communication.

Responsibilities

• Own build, implementation, and reliability of cluster configurations for NKE tenant workloads.
• Lead a team coordinating the container runtime stack: AICR, DCGM, and related components.
• Drive architecture decisions for cluster networking, storage, and GPU partitioning.
• Define cluster hardening standards, RBAC models, pod security policies, and multi-tenancy boundaries.
• Collaborate with platform, infrastructure, and cybersecurity teams to integrate capabilities.
• Build tooling for AICR lifecycle management: provisioning, upgrades, drift detection, remediation.
• Represent the runtime team in architecture reviews and roadmap planning.
• Contribute to open source communities around NKE dependencies.

Skills

Leadership

Kubernetes internals

Distributed systems design

Security posture

API design

IAM familiarity

Cross-org collaboration

Cluster lifecycle management

Communication with leadership

Education

BS/MS degree in Computer Science or related field

Tools

Kubernetes

Cluster API / kubeadm

RBAC

AICR / DCGM components

Job description

NVIDIA Corporation's Kubernetes Engine team seeks a technical leader to guide the Runtime Engineering team responsible for the full configuration lifecycle of NKE tenant workload clusters.

You will oversee the container runtime stack (AICR, DCGM, GPU management) and drive architecture across networking, storage, and security to deliver a scalable, multi-tenant platform. This role requires deep Kubernetes knowledge and senior leadership experience.