3 months ago

Senior Staff Software Engineer, Search

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Lead technical strategy and architecture for DoorDash Search, owning a multi-year roadmap across indexing, serving, and ML-driven ranking. Drive latency-sensitive infrastructure, mentor staff engineers, partner with ML, Product, and Infrastructure, and shape patterns for large-scale search systems powering consumer search and agentic commerce experiences.

Location: San Francisco, Sunnyvale, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•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.
•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.
•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.
•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.
•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.

Pay and Benefits

Salary: USD 231,200 - 340,000 annually

Equity and Bonus:Equity

Perks:401kMedicalDentalVisionPaid Leave

Key Requirements

•B.S. or M.S. in Computer Science or equivalent.
•10+ years of industry experience, with a track record of leading large-scale, high-impact components and systems.
•Proven ability to drive multi-quarter technical roadmaps as a technical lead, with clear ownership of architectural decisions.
•Deep expertise in distributed systems and data pipelines at scale. Expertise in search infrastructure, including indexing and serving stack.
•Strong understanding of ML systems, embedding-based retrieval, model serving tradeoffs, and multi-stage ranking architectures.

Experience:10+ yearsSearchDistributed systemsML

Education:Bachelor's

Skills:LeadershipMentoringCommunicationProblem-solvingInfluence

Languages:English

Tech Stack:Distributed systemsMLEmbedding-based retrievalModel servingRankingIndexing

Company Brief

DoorDash US

On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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DoorDash US

3 months ago

Senior Staff Software Engineer, Search

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: San Francisco, Sunnyvale, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•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.
•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.
•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.
•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.
•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.

Pay and Benefits

Salary: USD 231,200 - 340,000 annually

Equity and Bonus:Equity

Perks:401kMedicalDentalVisionPaid Leave

Key Requirements

•B.S. or M.S. in Computer Science or equivalent.
•10+ years of industry experience, with a track record of leading large-scale, high-impact components and systems.
•Proven ability to drive multi-quarter technical roadmaps as a technical lead, with clear ownership of architectural decisions.
•Deep expertise in distributed systems and data pipelines at scale. Expertise in search infrastructure, including indexing and serving stack.
•Strong understanding of ML systems, embedding-based retrieval, model serving tradeoffs, and multi-stage ranking architectures.

Experience:10+ yearsSearchDistributed systemsML

Education:Bachelor's

Skills:LeadershipMentoringCommunicationProblem-solvingInfluence

Languages:English

Tech Stack:Distributed systemsMLEmbedding-based retrievalModel servingRankingIndexing

Company Brief

DoorDash US

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn