Staff Software Engineer, AI Workload Orchestration

CoreWeave; Sunnyvale (CA); On-site; USD 188,000 - 275,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance—

Stock options

401(k) with employer match

Flexible PTO

Lunch provided at office

Job summary

CoreWeave is seeking a Staff Software Engineer (IC5) to lead the AI Workload Orchestration Platform. You will guide the Kubernetes-native orchestration strategy for AI workloads, spanning GPU clusters, admission, scheduling, and governance across multiple schedulers and runtimes.

You will define architecture, drive reliability and scalability, mentor engineers, and represent the platform in cross-team reviews.

Qualifications

• 8+ years of professional software engineering in distributed systems or cloud platforms.
• Strong Go proficiency and production-grade systems experience.
• Deep knowledge of Kubernetes internals, scheduling, and controller patterns.
• Experience designing or evolving orchestration and resource-management platforms.
• Proven ability to lead technical initiatives across teams.

Responsibilities

• Own the technical vision and architecture for major portions of the AI Workload Orchestration Platform.
• Design scalable orchestration primitives for AI workloads across schedulers/runtimes.
• Lead cross-team architecture reviews and drive alignment across infra, 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.
• Represent the platform in technical reviews and influence CoreWeave strategy.

Skills

Distributed systems

Go

Kubernetes internals

Platform orchestration

Technical leadership

Tools

Kueue

Volcano

Ray

Kubernetes

Job description

CoreWeave is seeking a Staff Software Engineer (IC5) to lead the AI Workload Orchestration Platform. You will guide the Kubernetes-native orchestration strategy for AI workloads, spanning GPU clusters, admission, scheduling, and governance across multiple schedulers and runtimes.

You will define architecture, drive reliability and scalability, mentor engineers, and represent the platform in cross-team reviews.