Sr GPU Infrastructure Software Engineer
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About the role
Senior engineers are area owners who lead designs, raise engineering standards, and deliver measurable improvements to latency, throughput, and reliability across multiple services. You'll partner with fleet, product, and hardware teams to evolve our GPU performance testing platform to ensure we deliver a reliable and performant experience to our customers.
Responsibilities
- Design and implement solutions to problems of scale for testing and validation of CoreWeave's global infrastructure.
- Design and develop Kubernetes-native controllers and operators to automate infrastructure workflows. or
- Build and maintain scalable backend services and APIs (gRPC/REST) in Go or Python.
- Develop performance tests and automation workflows to expand hardware validation across the CoreWeave fleet.
- Write and maintain Kubernetes custom controllers and operators to automate infrastructure testing.
- Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health.
- Participate in an on-call rotation.
Requirements
- ~5 to 8 years experience
- Proficiency in Go and/or Python software development.
- Hands-on experience with writing Kubernetes operators/controllers.
- Experience testing hardware at scale
- HPC Experience
- Experience with AI/ML infrastructure and training / inference
Benefits
Additional Information
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 .
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