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Principal Software Engineer - Models

CoreWeave · San Francisco, CA, Bellevue, WA, Sunnyvale, CA, New York, Livingston, NJ · On-site

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About CoreWeave

CoreWeave is the force multiplier that empowers pioneers with momentum, magnitude, and mastery—enabling them to innovate with confidence. Explore the #1 AI Cloud.

About the role

You will own the frontend architecture of the W&B app, the product ML researchers and engineers work in every day, and be accountable for app performance, stability and reliability.

What they're looking for

  • 8+ years building user-facing software, with deep expertise in frontend architecture and performance
  • Have led the transformation of a large, long-lived React application with a focus on performance, product impact and dev experience and owned the outcome
  • Strong command of React and TypeScript, with production experience in GraphQL and a modern state management approach such as Redux or Zustand, including opinions on when each is the right tool
  • Real performance engineering skill: you can instrument an application, read both frontend and backend traces, determine precisely where time is going, and prove the improvement with numbers
  • Solid client-side caching fundamentals, including normalization, invalidation, and the failure modes that appear at scale
  • Hands-on experience with bundlers and build tooling, and clear views on code splitting and delivery tradeoffs
More about this role

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 .

You will own the frontend architecture of the W&B app, the product ML researchers and engineers work in every day, and be accountable for app performance, stability and reliability.

A single page in W&B assembles data from many parts of the product, which power different product features owned by different teams. Individually those requests are all reasonable; in aggregate they contribute to increased load times and a worse experience for users. Performance here is a question of composition: what queries each page needs before it can render, what queries can add to that set, and how those boundaries hold as the product grows. You'll define those boundaries...

Read the full posting on CoreWeave's site ↗

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