Kubernetes Runtime Engineering Lead — Multi-Tenant GPU Platform

NVIDIA; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Job summary

NVIDIA's Kubernetes Engine (NKE) team is seeking a technical leader to guide the Runtime Engineering group responsible for the full configuration lifecycle of NKE tenant workload clusters.

You will oversee the build, deployment, and operational reliability of cluster configurations across topologies, manage a team of engineers across AICR, DCGM, and related components, and drive architecture decisions for networking, storage, and security to deliver a production-grade, multi-tenant Kubernetes

Qualifications

• BS/MS in CS or related field (or equivalent experience).
• 12+ years designing and delivering large-scale distributed software systems; 5+ years in people management.
• Experience bridging runtime, networking, and security fields.
• Kubernetes internals knowledge beyond usage (scheduler, kubelet, API server, admission).
• Cluster lifecycle management experience (Cluster API, kubeadm, etc.).
• Security and compliance posture (CIS Kubernetes Benchmark, image signing, supply chain).

Responsibilities

• Oversee build, implementation, and operational reliability of cluster configurations for NKE tenant workloads across all topologies.
• Lead engineers coordinating the container runtime stack (AICR, GPU management operator, DCGM, and related 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.
• Collaborate with NKE platform, infrastructure, and cybersecurity teams to integrate capabilities and resolve runtime concerns.
• Build tooling for AICR lifecycle management — provisioning, upgrades, drift detection, remediation.
• Represent the runtime team in architecture reviews, roadmap planning, and customer communications with NVIDIA leadership.
• Contribute to open source communities wherever NKE has upstream dependencies or influence.

Skills

Team leadership

Distributed systems

Kubernetes internals

Cluster lifecycle management

Security & compliance

API design

IAM approaches

Cross-org collaboration

Education

BS/MS in CS or related field

Tools

Kubernetes

Cluster API/kubeadm

AICR

DCGM

Job description

NVIDIA's Kubernetes Engine (NKE) team is seeking a technical leader to guide the Runtime Engineering group responsible for the full configuration lifecycle of NKE tenant workload clusters.

You will oversee the build, deployment, and operational reliability of cluster configurations across topologies, manage a team of engineers across AICR, DCGM, and related components, and drive architecture decisions for networking, storage, and security to deliver a production-grade, multi-tenant Kubernetes