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# Software Engineer - Models

- **Company:** Coreweave Inc
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $227,000.0 - $303,000.0
- **Contract:** Permanent contract
- **Skills:** TypeScript, Datadog, ReactJS, Backend, Graphql, Machine Learning Operations, Front End Software Development, React Redux, Virtual Agents, Api Design
- **Published:** September 19, 2026
- **Apply:** https://www.thejobnetwork.com/job/3eacb8a4-5949-4860-a899-c2e30a8c8fc3/principal-software-engineer-models

## About the Role

- 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
- Enough backend depth to design systems at a high level. You can propose a new API architecture in service of a faster client and reason about its frontend implications
- Track record of validating ideas, coordinating across engineering teams, and sequencing work that spans organizational boundaries
- An operator mindset: you measure, you ship, you follow through, and you stay close to production

Preferred Qualifications

- Experience introducing automated enforcement such as lint rules, CI gates, or performance budgets that changed engineering behavior broadly
- Background in data-dense or visualization-heavy applications where rendering cost and data volume are the core constraints
- Familiarity with observability tooling such as Datadog RUM and APM, or comparable tracing and session-replay stacks
- Working knowledge of Go or a similar backend language
- Exposure to ML, MLOps, or AI agent workflows, or genuine curiosity about the researchers and engineers who use these tools
- Experience with a highly configurable product, where the space of user and deployment settings can't be exhaustively tested





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