# Staff Software Engineer - Managed Kubernetes at Lambda Labs

- Company: Lambda Labs
- What the company does: Train and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and and more GPUs. Launch on-demand instances or reserve a cluster. Get started.
- Company website: https://lambda.ai
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco Office (Fremont St)
- Work setup: Remote
- Pay: $314K to $465K base salary per year (USD)
- Posted: 2026-09-24
- Apply by: 2026-11-08
- Apply: https://jobs.ashbyhq.com/lambda/f181b886-961a-4b38-afa4-ffb71acafe9f
- Page: https://www.1752.vc/careers/jobs/lambda-labs-staff-software-engineer-managed-kubernetes/

## About the role

Lambda is building the AI Cloud of the future. We are seeking a Staff Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. This is a foundational technical leadership role where you will shape the infrastructure that powers the next generation of AI training and inference at scale.

## What they're looking for

- 10+ years of experience in software engineering, platform engineering, or SRE, with at least 5 years focused on Kubernetes at scale
- Expert-level understanding of Kubernetes internals: API machinery, controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful
- Holistic infrastructure expertise: you've synthesized knowledge across compute, networking, storage, and security, not just Kubernetes in isolation. You can build solutions that span the full stack
- Strong software engineering skills in Go (required) and Python, you write production-quality code, not just scripts
- Deep experience with GPU orchestration in Kubernetes: NVIDIA GPU Operator, device plugins, DCGM, MIG, time-slicing, and GPU-aware scheduling. Familiarity with NVIDIA Network Operator and GPUDirect is strongly preferred
- Proven track record of technical leadership: driving design decisions across teams, mentoring engineers, and influencing infrastructure direction beyond your immediate scope

Tags: Data Center Business