Senior Staff Software Engineer, Search

About this role

<div class="content-intro"><p><img style="display: none; max-width: 100%;" src="https://click.appcast.io/greenhouse-te8/a31.png?ent=34&e=22630&t=1701374353806" width="1px"> <img style="display: none; max-width: 100%;" src="https://track.jobadx.com/v1/i.gif?utm_pixel=224e990b-8ff4-4287-8d5d-2ff09647f181&utm_ptz=EST&utm_rqt=track" alt="" width="1"></p></div><h2><strong>About the Team</strong></h2> <p>We are on a mission to build a reliable, fast, and scalable search for DoorDash. As a product, we help millions of customers find the stores, items, and experiences they want. As a platform, we provide indexing, retrieval, ranking, and query understanding capabilities to internal customer teams across more than 20 verticals. Our work spans three dimensions: scale (over a billion indexed documents, thousands of QPS, expensive operations on millions of documents per second), product (improving search experience for DoorDash customers and enabling product teams across many surfaces to experiment with minimal friction using search infrastructure), and quality (query understanding, multi-stage ranking, and semantic search capabilities to improve search relevance and drive conversion).</p> <p>This is a pivotal moment for Search. We are evolving the platform to support the next generation of consumer experiences, from semantic search to agentic commerce experiences powered by LLM. The architectural decisions we make now will define how DoorDash discovery works for the next decade.</p> <h2><strong>About the Role</strong></h2> <p>As a Senior Staff Engineer on Search, you will serve as the tech lead for the Search organization, driving the technical strategy and architectural direction for the entire search stack. You will own the multi-year technical roadmap spanning indexing, serving, and the backend systems that power search and agentic commerce experiences at DoorDash. This is an individual contributor role with org-wide technical authority.</p> <p>You will partner closely with Machine Learning, Product, and Infrastructure stakeholders to chart the roadmap, scale foundational systems, and deliver high-impact outcomes that improve discovery, conversion, and customer experience.</p> <h2><strong>You're excited about this opportunity because you will…</strong></h2> <ul> <li>Lead at scale: Serve as the uber tech lead for Search, providing technical vision and architectural direction across the entire organization. Own a multi-year roadmap that spans multiple services and teams powering mission-critical products at DoorDash.</li> <li>Architect the next-generation search stack: Drive the rebuild of core search infrastructure, including indexing pipelines, embedding-based retrieval, and ML ranker serving in latency-sensitive paths. This stack will power both consumer search and agentic commerce experiences at DoorDash scale.</li> <li>Influence across teams: Drive alignment across ML, Infrastructure, Product, and partner engineering teams. Mentor staff and senior engineers across the search org to raise the bar of technical excellence.</li> <li>Shape engineering culture: Set the technical bar for how the search org designs, ships, and operates large-scale systems, and define the patterns that will outlast any single project.</li> <li>Hands-on problem solving: Dig into complex distributed systems challenges, from low-latency serving to indexing freshness tradeoffs, and write code that moves the needle.</li> </ul> <h2><strong>We're excited about you because you have… </strong></h2> <ul> <li>B.S. or M.S. in Computer Science or equivalent.</li> <li>10+ years of industry experience, with a track record of leading large-scale, high-impact components and systems.</li> <li>Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software</li> <li>Proven ability to drive multi-quarter technical roadmaps as a technical lead, with clear ownership of architectural decisions.</li> <li>Deep expertise in distributed systems and data pipelines at scale. Expertise in search infrastructure, including indexing and serving stack.</li> <li>Strong understanding of ML systems, embedding-based retrieval, model serving tradeoffs, and multi-stage ranking architectures.</li> <li>Strong technical intuition paired with the ability to influence and align cross-functional stakeholders.</li> <li>Humility and growth mindset, leading through expertise and collaboration, not hierarchy.</li> </ul> <p> </p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-size: 32px;"><strong>Compensation</strong></span></p> <p>The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.</p> <p>In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.</p> <p>DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to…