DoorDash
Software Engineer, Data and AI Platform
San Francisco, California · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($130,600) is below the Level I prevailing wage of $137,093. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,131 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 53%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Our users span analysts, engineers, operators, and executives across DoorDash, Wolt, and Deliveroo, on a warehouse and OLAP footprint that includes Snowflake,Spark and Clickhouse.
- The team is a mix of engineers who have built AI & Data platforms and products at scale.
- You're excited about this opportunity because you will…
Responsibilities
- DoorDash is building the world's most reliable on-demand, logistics engine for delivery!
- You will own the full path from a question to an answer an operator can put in a deck without checking it twice.
- The BI reporting surfaces are converging, and deciding what that convergence looks like while someone is authoring, building a report, writing a query, asking why a number moved, or asking for the chart they were about to build by hand.
- Build a data platform for authoring, dashboard runtime, drill-down and cross-filter semantics, scheduling and alerting, content certification and permissions, and the embedding path that puts the same components in front of external users
- Build the AI experience inside that platform: agent-assisted query authoring, generated charts and widgets held to the same governance as hand-built ones
- Own the query and adaptive caching path: planning and federation across different query engines and invalidation correctness, and safe execution under agent traffic that bursts and fans out
- Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants
- Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently
Requirements
- We're excited about you because you have…
Nice to have
- Evolve the semantic layer metric and dimension modeling, definition governance, lineage and expose metadata in forms a model can actually reason over
- B.S., M.S., or PhD. in Computer Science or equivalent
- 3+ years of industry experience in software engineering
- Shipped an LLM-powered feature to real users, hands-on with retrieval and grounding and built or meaningfully extended an eval system
- Built meaningful pieces of data platform products- semantic layers, data discovery, reporting applications, caching systems and data applications
- Familiarity with a cloud-based environment such as AWS and with Kubernetes in production
- Experience with MCP, agent frameworks, or tool-calling architectures in production
- Experience with traditional and modern reporting or analytics tooling, data governance, controls and multi-tenant data platforms
Compensation
- 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.
- In addition to base salary, the compensation for this role includes opportunities for equity grants.
- flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- For hourly roles:
Benefits
- DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
- To learn more about our benefits, visit our careers page here.
- See below for paid time off details:
Company info
- Data Platform's Data User Experience Engineering builds the products every DoorDash employee uses to answer questions with data.
- That portfolio includes our AI first reporting and authoring surface,Conversational analytics with AI, Semantic and Knowledge layer along with MCP and skills layer plus the full stack infrastructure that lets users and agents reach all of it.
- We're looking for talented engineers to help us develop a 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.
This listing is sourced directly from DoorDash's careers page and normalized into a canonical job model.