Senior AI Workload Orchestration Engineer (Kubernetes)

CoreWeave Europe; United States; On-site; USD 188,000 - 275,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with generous employer match

Paid Parental Leave

ESPP

Flexible PTO

Catered lunch daily

Job summary

CoreWeave is seeking a Staff Software Engineer (IC5) to own the AI Workload Orchestration Platform and shape the architecture for admitting, scheduling, and governing AI workloads across large GPU clusters using Kubernetes-native tooling.

You will mentor senior engineers, lead cross-team architecture reviews, and define standards for reliability, observability, capacity, and operational excellence while supporting both training and inference workloads in the CoreWeave cloud.

Qualifications

• 8+ years of professional software engineering experience.
• Strong proficiency in Go and experience designing large-scale production systems.
• Deep knowledge of Kubernetes internals, scheduling mechanisms, and controller-based architectures.
• Demonstrated experience designing or evolving orchestration, scheduling, or resource-management platforms.

Responsibilities

• Own the technical vision and architecture for major portions of the AI Workload Orchestration Platform.
• Design scalable, reliable orchestration primitives for AI workloads across multiple schedulers and runtimes.
• Lead cross-team architecture reviews and drive alignment across infrastructure, CKS, and managed inference teams.
• Define platform standards for reliability, observability, capacity management, and operational excellence.
• Identify and resolve systemic performance, scalability, and fairness issues across large GPU clusters.
• Mentor senior engineers and grow technical leadership within the organization.

Skills

Go

Kubernetes internals

Distributed systems

Leadership without authority

Tools

Kueue

Volcano

Ray

Job description

CoreWeave is seeking a Staff Software Engineer (IC5) to own the AI Workload Orchestration Platform and shape the architecture for admitting, scheduling, and governing AI workloads across large GPU clusters using Kubernetes-native tooling.

You will mentor senior engineers, lead cross-team architecture reviews, and define standards for reliability, observability, capacity, and operational excellence while supporting both training and inference workloads in the CoreWeave cloud.