Staff GPU Infrastructure Software Engineer
CoreWeave - Sunnyvale, CA / Bellevue, WA
Posted Dec 18, 2025
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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- 401(k) match
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Schedule
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- Weekend work
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Where they hire
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About this role
Staff GPU Infrastructure Software Engineer 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 . About the role As a Staff Software Engineer, you will define and drive the technical vision for GPU performance validation and infrastructure testing across CoreWeave's global fleet. You will lead large-scale initiatives spanning hardware validation, performance benchmarking, Kubernetes infrastructure, and AI/ML platform reliability. This role requires deep technical expertise combined with the ability to influence architecture, engineering practices, and organizational priorities across multiple teams. You will partner closely with Fleet Engineering, Infrastructure, Product, Hardware, and AI Platform teams to ensure CoreWeave delivers industry-leading performance, reliability, and efficiency for GPU workloads at hyperscale. What You'll Do - Define the long-term technical strategy and architecture for CoreWeave's GPU performance testing and validation platform. - Lead the design and implementation of scalable systems for validating performance, reliability, and health across CoreWeave's global infrastructure footprint. - Drive cross-functional initiatives spanning infrastructure testing, hardware qualification, fleet provisioning, and AI infrastructure performance optimization. - Architect and develop backend services, APIs, and automation frameworks in Go and/or Python that support large-scale
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