Principal Engineer (Cluster Orchestration)

Join CoreWeave, a leading provider of GPU cloud infrastructure for AI and machine learning. As a Principal Engineer in AI Infrastructure, you will lead the design and evolution of our cluster orchestration systems, including Slurm, Kubernetes, and SUNK. You will define long-term architecture, solve scaling problems, and set technical direction across teams. Your work will directly impact the efficiency and reliability of our platform at scale.

• Defining the long-term architecture for CoreWeave’s orchestration platforms across Kubernetes, Slurm, SUNK, Kueue, and related systems.
• Leading the evolution of Kubernetes-native control planes, including SUNK and custom operators, and designing systems that support workload admission, validation, and rollout.
• Setting standards for reliability, observability, and operational readiness across orchestration services, and ensuring systems behave predictably during failures, peak load, and rapid growth.

• Experience running GPU-heavy platforms for AI training, inference, or HPC workloads
• Proven ability to set technical direction across teams without direct authority
• Strong background in Go and cloud-native systems development
• Deep, practical knowledge of Kubernetes and Slurm internals
• Bachelor’s or Master’s degree in a relevant field, or equivalent experience
• Comfortable making high-impact technical decisions in complex systems
• 15+ years of experience building and operating large-scale distributed systems
• Experience with systems such as Kueue, Kubeflow, Argo Workflows, Ray, Istio, or Knative
• Background in ML platform engineering, model onboarding, or lifecycle management
• Strong understanding of scheduling strategies, pre-emption, quota enforcement, and elastic scaling
• Track record of operating highly reliable systems with clear SLOs and incident processes
• Contributions to Kubernetes, ML infrastructure, or related open-source projects
• Experience mentoring senior engineers and raising engineering standards
• You may be a good fit if you enjoy defining long-term architecture, solving deep systems problems, and working close to the hardware layer of AI platforms
• This role suits engineers who care about correctness, scale, and operational discipline, and who want their work to directly shape how AI runs in production
• Applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157,
• Or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency