CoreWeave
Staff Software Engineer- AI Workload Orchestration
$188K–$275K
Sunnyvale, CA / Bellevue, WA +2 · Staff · Full-time · Posted Jan 23, 2026
- Location
- Sunnyvale, CA / Bellevue, WA
Bellevue, WA
Sunnyvale, California, United States - Experience
- 8+ years of professional software engineering experience.
- Visa sponsorship
- The role requires access to export-controlled information. Applicants must be a U.S. person, eligible to access the information without export authorization, or eligible and reasonably likely to obtain the required authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
About the job
Leads the architecture and technical direction of a Kubernetes-native platform that schedules, admits, and governs AI workloads across large GPU clusters.
What you'll do
- Own platform architecture and design scalable orchestration primitives across schedulers and runtimes.
- Lead cross-team alignment and establish standards for reliability, observability, capacity management, and operations.
- Resolve systemic performance, scalability, and fairness issues; mentor engineers and influence platform strategy.
What they ask for
- 8+ years of professional software engineering experience, with deep expertise in distributed systems or cloud platforms.
- Strong proficiency in Go and experience designing large-scale, long-lived production systems.
- Deep knowledge of Kubernetes internals, scheduling mechanisms, and controller-based architectures.
- Experience designing or evolving orchestration, scheduling, or resource-management platforms; ability to lead cross-team initiatives and own mission-critical systems.
Nice to have
- Hands-on experience with Kueue, Volcano, Ray, or similar frameworks; background in AI infrastructure, ML platforms, HPC, or large-scale batch and streaming systems.
- Experience with SLOs, capacity models, reliability improvements, or open-source infrastructure/orchestration contributions.
Pay
$188,000 to $275,000 USD base salary
Tools
Go, Kubernetes, Kueue, Volcano, Ray, SUNK (Slurm on Kubernetes)
AI focus
Builds orchestration infrastructure for AI training and inference workloads across large GPU clusters.
Model-written summary · the original posting is authoritative