Senior Software Engineer, Compute Architecture

Skip to main content Senior Software Engineer, Compute Architecture CoreWeave Bellevue, WA Apply Join or sign in to find your next job Join to apply for the Senior Software Engineer, Compute Architecture role at CoreWeave Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Senior Software Engineer, Compute Architecture CoreWeave Bellevue, WA 2 weeks ago 68 applicants See who CoreWeave has hired for this role Apply Join or sign in to find your next job Join to apply for the Senior Software Engineer, Compute Architecture role at CoreWeave Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job 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 RoleAs a Senior Software Engineer within our Compute Architecture organization, you will help build the software control plane for hardware lifecycle management across large-scale GPU data centers. The METALDEV team builds Go-based distributed services that bring infrastructure online, monitor production hardware health, automate safe operational workflows, and give operators the observability and control needed to manage GPU servers and rack-scale systems with reliability and confidence. This is a software-first role at the intersection of distributed systems, production reliability, and hardware-aware automation, ideal for engineers who want their code to operate real-world infrastructure at massive scale.What You’ll DoDesign, build, and operate Go-based services that manage the lifecycle of large-scale GPU data center infrastructure.Build automation for data center bring-up, hardware discovery, health monitoring, remediation, and production operations.Develop reliable APIs, services, and workflows for managing BMCs, firmware state, server health, and rack-level infrastructure.Improve observability, alerting, and operational tooling so production issues can be detected, understood, and resolved quickly.Translate incidents and hardware failure modes into software improvements that make the...