- 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.
The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).