Staff Software Engineer, Uber Eats Search Experience

Staff Software Engineer, Uber Eats Search Experience Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **About the Role** Search is a primary discovery surface in Uber Eats that drives over a third of our business. We’re on a mission to evolve search from a simple query box into an adaptive, intuitive experience that better understands user intent and helps people confidently decide what to order. The Search Experience team owns the presentation layer for Search: how users express intent and how results are displayed, measured, and iterated across global and in-store search. We build rich experiences using embedded web technology inside the Eats iOS/Android apps, with strict performance and reliability requirements. These experiences are powered by backend services and clean contracts that enable rapid iteration. We partner closely with Ranking/Relevance teams (who own retrieval and ML ranking). Our focus is turning their signals into fast, trustworthy, and high-converting user experiences, while modernizing foundations (performance, instrumentation, experimentation, and developer velocity). Natural Language Search (NLS) is a major investment area, and we’re building the presentation layer that makes NLS feel transparent, controllable, and reliable. **What You Will Do** 1. Lead ambiguous, cross-functional initiatives spanning UX, engineering, and measurement, turning broad goals into milestones, guardrails, and shippable increments. 2. Own meaningful end-to-end slices across the presentation path, including the contracts between client and server and the systems that power them. 3. Set technical direction for performance, reliability, experimentation readiness, and observability across Search presentation surfaces. 4. Reduce recurring failure modes by improving foundations: rollout safety, regression prevention, instrumentation quality, and developer velocity. 5. Partner deeply with PM, Design, UXR, Data Science, and Ranking/Relevance to align on user intent, trust, and measurable outcomes. 6. Multiply the team through mentoring, design reviews, code reviews, an