CoreWeave
Senior Software Engineer II (IC4) – AI Workload Orchestration
$182K–$242K
Sunnyvale, CA / Bellevue, WA +2 · Senior · Full-time · Posted Jun 25, 2026
- Location
- Sunnyvale, CA / Bellevue, WA
Bellevue, WA
Sunnyvale, California, United States - Experience
- 5–8 years of professional software engineering experience in distributed systems, cloud infrastructure, or platform engineering.
- Education
- Bachelor’s Degree in Computer Science, Engineering or related technical field.
- Visa sponsorship
- Applicants must be a U.S. person, eligible to access export-controlled information without required authorization, or eligible and reasonably likely to obtain required U.S. government export authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
About the job
Build and operate CoreWeave’s Kubernetes-native platform for admitting, scheduling, and running AI workloads at scale.
What you'll do
- Design, build, and operate orchestration and scheduling services; own platform components through design, testing, and on-call support.
- Improve scheduling latency, cluster utilization, reliability, and performance using metrics.
- Coordinate platform integrations and architecture with adjacent teams, and mentor junior engineers.
What they ask for
- Strong experience building production systems in Go; Python or C++ is a plus.
- Solid understanding of Kubernetes fundamentals, APIs, controllers, and production operations.
- Experience with scheduling, resource management, or quota-based systems; proven ability to improve reliability and performance using operational metrics.
- Comfort owning production services and participating in on-call rotations.
Nice to have
- Experience with Kubernetes-native orchestration frameworks such as Kueue, Volcano, Ray, Kubeflow, or Argo Workflows.
- Familiarity with GPU workloads, ML training or inference, scheduling concepts, reliability practices, or AI/HPC infrastructure.
Pay
$182,000.00 - $242,000.00 USD base salary
Tools
Kubernetes, Go, Python, C++, Kueue, Volcano, Ray, SUNK (Slurm on Kubernetes)
AI focus
Develop orchestration and scheduling infrastructure for AI training and inference workloads.
Model-written summary · the original posting is authoritative