Sr GPU Infrastructure Software Engineer
CoreWeave · Sunnyvale, CA | Bellevue, WA · Technology
senior
machine learning
AI Infrastructure Engineer
ic
$165,000 – $242,000
USD per year
About this role
CoreWeave is hiring a senior-level AI Infrastructure Engineer in the machine learning function based in Sunnyvale, CA | Bellevue, WA. The posting calls out experience with Python, C, Spring, gRPC. Compensation is listed at $165,000–$242,000 per year.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Sunnyvale, CA | Bellevue, WA
- Department
- Technology
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Job description
from CoreWeave careersCoreWeave 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
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.
What you’ll do
- 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.
This is an excerpt. Read the full job description on CoreWeave careers →