15+ years of experience building and operating large-scale distributed systems
Deep, practical knowledge of Kubernetes and Slurm internals
Experience running GPU-heavy platforms for AI training, inference, or HPC workloads
Strong background in Go and cloud-native systems development
Proven ability to set technical direction across teams without direct authority
Comfortable making high-impact technical decisions in complex systems
Bachelor’s or Master’s degree in a relevant field, or equivalent experience
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
Is This a Good Fit?
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
Why CoreWeave?
At CoreWeave, AI infrastructure is the product. As a Principal Engineer in cluster orchestration, you will be responsible for systems that directly determine how efficiently GPUs are used, how reliably large models run, and how quickly customers can move from research to production
This role puts you at the center of hard problems in scheduling, resource isolation, and large-scale control planes. You will work on systems where small design choices affect thousands of GPUs and real customer workloads. If you care about building infrastructure that runs under constant pressure, scales without shortcuts, and enables the next generation of AI workloads, CoreWeave is a place where your work will matter