Staff Software Engineer (Cluster Orchestration)

As part of the Cluster Orchestration team, you will play a key role in advancing CoreWeave’s orchestration platform including SUNK (Slurm on Kubernetes) and beyond, our Kubernetes-native foundation that powers AI training and inference at scale

This is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters

By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what’s possible with AI

As a Staff Engineer, you will be a technical leader shaping the long-term strategy for CoreWeave’s orchestration platform

You’ll define architectural direction, own critical parts of the orchestration platform and other managed services, and drive cross-org initiatives in scheduling, quota enforcement, and scaling at hyperscale

You’ll mentor senior engineers, establish org-wide best practices in reliability and observability, and ensure CoreWeave’s orchestration layer evolves to meet the demands of next-generation AI workloads- 8+ years of software engineering experience

Proven track record designing and operating large-scale distributed systems in production

Experience setting technical direction and influencing cross-team architecture

Advanced proficiency in Go and distributed systems design and cloud-native development

Deep expertise in Slurm/Kubernetes internals and cloud-native development

Bachelor’s or Master’s degree in CS, EE, or related field

Deep expertise in Slurm/Kubernetes internals

Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows

Experience with distributed workloads, GPU-based applications, or ML pipelines

Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies

Exposure to reliability practices including SLOs, alarms, and post-incident reviews

Experience with AI infrastructure and workloads (ML training, inference, or HPC)

Ability to mentor senior engineers and elevate organizational standards

You thrive on solving problems that balance cost, performance, and reliability in high-demand environments

You’re curious about orchestration beyond SUNK and how to evolve it for next-generation AI

You love defining long-term architecture for systems at global scale

You’re an expert at mentorship, architecture, and operational excellence across teams