DoorDash replaced traditional coding interviews with AI-assisted engineering interviews. Learn how we evaluate real-world developer skills using modern tools.

DoorDash offers insights into food delivery technology, logistics, and customer experience. Developers can delve into DoorDash's engineering blogs, tech talks, and innovation stories to gain a deeper understanding of how technology powers the food delivery industry. By exploring topics such as scaling infrastructure, optimizing delivery routes, and enhancing user experience through innovative technology solutions, developers can use insights to apply to their own projects and industries.

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DoorDash has replaced traditional algorithmic coding interviews with 60-minute AI-assisted engineering working sessions. Candidates use their own machine, preferred IDE, and AI tools like Cursor, Claude Code, or Codex to work on realistic tasks resembling actual DoorDash engineering work. The format evaluates production-relevant skills: navigating unfamiliar codebases, making pragmatic tradeoffs, handling ambiguity, validating outputs rigorously, and communicating reasoning. Lessons from pilots include keeping project scope small enough for meaningful work within the time limit, setting clear expectations upfront, and training interviewers to assess workflow rather than just output correctness.

Why DoorDash is rebuilding its engineering interviews around AI