Senior Software Engineer II, AI Workload Orchestration
CoreWeave - Sunnyvale, CA / Bellevue, WA
Posted Jan 23, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Senior Software Engineer II, AI Workload Orchestration Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: As a Senior Software Engineer II (IC4) on the AI Workload Orchestration team, you will help build and operate CoreWeave's Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale. This platform integrates multiple orchestration and scheduling frameworks such as Kueue, Volcano, and Ray to support modern AI training and inference workflows. It complements SUNK (Slurm on Kubernetes) by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration. You will own meaningful components of the platform, drive reliability and performance improvements, and help scale the system as customer demand and workload complexity continue to grow. About the role: - Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling - Own one or more platform components end-to-end, including design, implementation, testing, and on-call support - Improve scheduling latency, cluster utilization, and workload reliability through metrics-driven engineering - Contribute to architectural discussions across services and influence design decisions within the platform - Work closely with adjacent
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