Senior Software Engineer, NVIDIA Kubernetes

Description

The company builds AI and high-performance computing infrastructure and is widely seen as a top employer in technology.

The team owns the management plane that creates, upgrades, scales and runs Kubernetes clusters on customer-managed infrastructure, supporting demanding AI and high-performance computing workloads.

As a senior engineer you will set technical direction, lead work across teams and mentor other engineers while shipping production-ready software.

Responsibilities

• Build management plane features for cluster lifecycle (compose, upgrade, scale, repair, delete), node management, and fleet-wide health and status reporting, from development through production.
• Design and implement Kubernetes controllers, operators and custom resource definitions (CRDs) in Go, with reconciliation that is reliable and idempotent.
• Automate cluster provisioning on bare metal, virtualized and cloud environments using Cluster API-style concepts and infrastructure providers.
• Lead technical builds by writing build docs, running build reviews and aligning partner teams across software and hardware.
• Find and fix performance, reliability and security problems in complex asynchronous distributed systems, including production debugging.
• Own the test strategy across unit, integration and end-to-end tests, and automate build, test and release pipelines.
• Mentor engineers, strengthen code reviews, and keep documentation and runbooks accurate and up to date.
• Set priorities across competing tasks without lowering code quality.

Requirements

• BS or MS in Computer Science or a related field, or equivalent experience.
• 8+ years of relevant software engineering experience, including building and operating production distributed systems.
• Strong skill in a systems language (Go, C++, Rust or Java), with solid data structures and algorithms knowledge and the ability to become productive in Go quickly.
• Strong understanding of Kubernetes and container orchestration, including the API server, controllers and reconciliation loops.
• Experience building and developing distributed systems, including consistency, availability and failure handling at scale.
• Experience automating with tools such as Ansible and Terraform, and establishing and managing CI/CD systems.
• Solid Linux fundamentals and an understanding of performance, security and reliability in distributed environments.
• A record of leading technical builds and mentoring engineers.
• Nice to have: broad Go experience, especially concurrency and testing, and client-go or controller-runtime.
• Nice to have: significant hands-on experience running Kubernetes at scale, including control plane and etcd scalability and availability.
• Nice to have: experience with Cluster API or infrastructure providers on bare metal, vSphere, OpenStack or AWS, and solid use of GitLab, Jenkins or other CI/CD platforms.
• Nice to have: expert knowledge of Linux kernel and system internals, or experience with GPU or DPU-accelerated infrastructure.
• Nice to have: open-source contributions to Kubernetes or related cloud-native projects.

Conditions

Base salary depends on location, experience and the pay of employees in similar roles.

Base salary range: 184,000 USD to 287,500 USD for Level 4, and 224,000 USD to 356,500 USD for Level 5.

Applications are accepted until at least November 3, 2026.

This posting is for an existing vacancy.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on protected characteristics.

Benefits

• Competitive salaries and a comprehensive benefits package, with details available on the company's benefits site for employees and their families.