Software Engineer, Data and AI Platform

DoorDash US
San Francisco, Sunnyvale
Full timeUSD 130,600 - 192,000 annuallyFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Accuracy focus","Production ownership","Governance mindset","Ability to operate in fast-paced environments"]

Build end-to-end data-to-answer experiences for operators, from BI reporting authoring to governed AI-generated insights. Own the platform capabilities for semantic modeling, dashboard runtime, drill-down semantics, scheduling, permissions, content certification, and embedding. Engineer accurate, scalable query execution with adaptive and safe caching, streaming large results to the browser, and AI-assisted workflows—grounded in eval systems—across DoorDash’s data and analytics stack.

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FursaFursa
DoorDash US
DoorDash US
2 days ago

Software Engineer, Data and AI Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build end-to-end data-to-answer experiences for operators, from BI reporting authoring to governed AI-generated insights. Own the platform capabilities for semantic modeling, dashboard runtime, drill-down semantics, scheduling, permissions, content certification, and embedding. Engineer accurate, scalable query execution with adaptive and safe caching, streaming large results to the browser, and AI-assisted workflows—grounded in eval systems—across DoorDash’s data and analytics stack.
Location: San Francisco, Sunnyvale
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the full path from question to a trustworthy answer that operators can use confidently.
  • •Ship agentic analytics features with strong accuracy and governed AI reporting.
  • •Build data platform capabilities for authoring, dashboard runtime, drill-down/cross-filter semantics, scheduling/alerting, permissions, certification, and embedding.
  • •Implement query planning, federation, and adaptive caching with correct invalidation and safe execution under bursty agent traffic.
  • •Develop AI-enabled services/workflows and data discovery/metadata platforms to help users find the right datasets, dashboards, and metrics.

Pay and Benefits

Salary: USD 130,600 - 192,000 annually
Equity and Bonus:Equity
Perks:401kPaid ParentalWellness StipendCommuter BenefitsPaid LeaveHealth InsuranceDentalVisionPaid HolidaysDisability InsuranceLife Insurance

Key Requirements

  • •B.S., M.S., or PhD. in Computer Science or equivalent.
  • •3+ years of industry experience in software engineering.
  • •Strong backend fundamentals, especially in Go and Python, and the ability to own services in production.
  • •Shipped an LLM-powered feature to real users, with hands-on retrieval/grounding and an eval system.
  • •Experience with cloud environments (e.g., AWS) and Kubernetes in production, plus agent/LLM tool-calling or MCP in production (or comparable work).
Experience:3+ years
Education:Bachelor's in Computer Science
Skills:Accuracy focusProduction ownershipGovernance mindsetAbility to operate in fast-paced environments
Languages:En
Tech Stack:GoPythonAWSKubernetesSnowflakeSparkClickhouseLLMRetrievalGroundingMCPAgent frameworksTool-callingSemantic layerOLAPBICachingQuery planningFederation

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
WebsiteLinkedIn