Cluster API (CAPI) jobs in United States

Build and operate the governed infrastructure platform behind NVIDIA’s Electronic Design Automation and hardware engineering organization, enabling self‑service from source code to production across cloud and on‑prem sites.

Compensation

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

Responsibilities

Own the lifecycle of the Kubernetes clusters the platform runs on, including the control plane, node lifecycle, and fleet‑wide upgrades.
Own the bare‑metal provisioning, storage, and networking underneath them.
Build self‑service capabilities (compute, secrets, certificates, DNS, access, deployment) for engineering teams.
Extend Kubernetes with controllers and operators, using open‑source projects where they fit and writing your own where they don’t.
Own the CI/CD pipelines and shared platform services, such as policy, autoscaling and observability, that give teams a secure path to production by default.

Requirements

A BS in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience.
Nice to have: Open‑source contributions
Nice to have: Experience running Kubernetes on bare metal
Nice to have: Exposure to EDA applications
Nice to have: High‑throughput batch workloads

Skills

Engineering Team Lead, Automation, Performance & Scale — k0rdent AI

Mirantis · Posted Nov 9, 2026

Open

Remote, United States
Remote
Lead
5+ years

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Lead the k0rdent AI automation and performance engineering team, owning automation frameworks, performance testing, and release acceptance for a multi-tenant GPU infrastructure platform.

Responsibilities

Lead, hire, and grow the k0rdent AI automation and performance engineering team
Own k0rdent AI acceptance verification and release acceptance criteria
Drive industry-standard quality practices across development teams
Take an active role in roadmap planning and estimation
Establish and report on quality and performance metrics

Requirements

Nice to have: k0s
Nice to have: k0rdent ecosystem
Nice to have: GPU infrastructure on Kubernetes
Nice to have: device plugins
Nice to have: node feature discovery

Skills

Python pytest API testing end-to-end testing test automation performance engineering load testing

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Compensation

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Engineering Team Lead, Automation, Performance & Scale — k0rdent AI

Responsibilities

Requirements

Skills

Benefits

Benefits