Senior Manager, Kubernetes Runtime Engineering

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
• What We Need to See
• BS/MS degree in Computer Science or related field (or equivalent experience)

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