Staff Frontend Engineer, DC Infrastructure Tooling

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 This Role CoreWeave is building one of the world's largest AI-focused cloud infrastructure platforms. We're standing up new data centers at an extraordinary pace, and the complexity of planning, tracking, and orchestrating each build demands purpose-built tooling that doesn't exist today. We're forming a new team dedicated to building that tooling in-house. The goal: a high-performance internal platform that gives network engineers, fleet engineers, and operations teams the ability to plan, visualize, and manage massive amounts of physical infrastructure across dozens of sites. As the founding frontend engineer on this team, you'll own the UI layer for these tools. You'll work alongside backend engineers to build applications that handle the full scope of datacenter infrastructure: network switches, GPUs, servers, optical transceivers, PDUs, cooli [... source excerpt omitted ...] tsheets, rack elevations, overheads, and more. Performance is non-negotiable. These tools need to render and interact with millions of objects per build without breaking a sweat. You'll make foundational technology decisions, establish the patterns and architecture that the team builds on, and have a direct hand in how quickly CoreWeave brings data centers online. What You'll Build Extremely high-performance interfaces for visualizing and planning datacenter infrastructure, often rendering massive amounts of structured records (device inventories, cable plans, rack assignments, power allocations) with sub-second interaction and filtering. Interactive planning tools for rack [... source excerpt omitted ...] nd can make deliberate decisions about when and how components re-render. Demonstrated experience building interfaces that handle large, complex datasets with extreme performance requirements: virtualized rendering, canvas or WebGL-based visualization, efficient DOM management, or similar techniques. Strong understanding of frontend architecture: component design, state management (particularly for complex, interconnected data models), data fetching and caching patterns, and build tooling. Experience designing and consuming APIs with attention to type safety, pagination, caching, and error handling. Track record of frontend performance optimization: bundle analysis, runtime profi