CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development.

About the role

CoreWeave runs some of the largest GPU-based Kubernetes clusters, for the most sophisticated users, in the world. As a Senior Specialist Field Engineer for Kubernetes, you'll help customers run training and inference on those clusters, and get the most out of the control plane, the scheduler, and the operators that run them. You'll work closely with the product and engineering teams, and what you learn in the field will help shape what they build.

In this role, you will

Design Kubernetes architectures for complex customers.
Troubleshoot problems that span the API server, etcd, the scheduler, the kubelet, the container runtime, the CNI, the network, and storage, across clusters with thousands of GPU nodes.
Find where the product falls short for real workloads and help the engineering teams fill those gaps.
Lead customer technical overviews, proofs of concept, and customer workshops, with occasional travel.

Who You Are

B.S. in Computer Science or a related technical discipline, or equivalent experience.
7+ years building or operating large-scale distributed systems, as a platform, systems, or software engineer, or in a deeply technical Kubernetes-focused field role.
Have written and run Kubernetes operators or controllers in production, in Go or Rust, using CRDs to extend the API.
Deep understanding of Kubernetes internals: the API server, etcd, the scheduler, and the various controllers, and how they work together.
Solid working knowledge of admission control and policy (validating and mutating webhooks, Kyverno or similar), RBAC, and ServiceAccounts.
Hands-on experience with Helm, GitOps delivery (Argo CD or Flux), and observability with Prometheus and OpenTelemetry.
Able to explain technical problems clearly to engineers and executives, building trust with customers.

Preferred

GPU scheduling and resource management: device plugins, topology-aware scheduling, MIG and MPS, and InfiniBand/RDMA device configuration.
Scaling the control plane: API server request lifecycle, etcd membership, upgrades, and backups, at thousands of nodes.
Experience with Slurm or other batch schedulers for AI training.
Image and artifact supply chain security: signing, provenance, and container runtime least privilege.
Contributions to Kubernetes or CNCF projects, or published work on Kubernetes internals or operator design.

You'll fit here if...

You'd rather read the controller source than guess why it reconciled.
You're comfortable saying "I don't know yet," and then you go find out.
You like working on a hard problem alongside the customer and the engineering team, and you share the credit.

Wondering if you're a good fit?

We believe in investing in our people, and value candidates who bring their own experiences to our teams - even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk.

You love to help solve challenging technical problems