Back to jobs

Software Engineer, Data and AI Platform

San Francisco, CA; Sunnyvale, CA

Live, first seen by us 30 days ago
Pay
USD 130,600–192,000/yearAnnual period assumed — pay source
The national base pay range for this position within the United States, including Illinois and Colorado. $130,600—$192,000 USD About DoorDash
Read the full posting
Work setting
Not stated
Employment
Not stated

Before you apply

Employer’s visa record
889 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting

You will own the full path from a question to an answer an operator can put in a deck without checking it twice.

You’re excited about this opportunity because you will…

  • Build the platform for report authoring, dashboards, drill-down and scheduling

  • Build AI features such as agent-assisted query authoring and generated charts

  • Evolve the semantic layer for metrics, dimensions, definitions and lineage

  • Own the query and adaptive caching path across multiple query engines

  • Build and operate data discovery and metadata platforms

From the employer’s posting
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.
You’re excited about this opportunity because you will…
Build a data platform for authoring, dashboard runtime, drill-down and cross-filter semantics, scheduling and alerting
Build the AI experience inside that platform: agent-assisted query authoring, generated charts and widgets held to the same governance as hand-built ones
Evolve the semantic layer metric and dimension modeling, definition governance, lineage
Own the query and adaptive caching path: planning and federation across different query engines and invalidation correctness
Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently
Education & alternatives
We're excited about you because you have… - B.S., M.S., or PhD. in Computer Science or equivalent - 3+ years of industry experience in software engineering

About DoorDash USA

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.

In the employer’s words · Read in context

Apply at DoorDash USA

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 14, 202630 days ago
Recorded sightings
121
Last seen by us
Nov 10, 2026
Reposted
once since Sep 1, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 30

Similar jobs usually come down between day 4 and day 77.

At DoorDash USA, jobs usually come down by about day 58.

From 51 similar postings that came down, and 43 of DoorDash USA’s. Coming down is not always a hire.

DoorDash USA is hiring

35 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • ClickHouse
  • Kubernetes
  • Snowflake
  • Spark
  • Go
Where the posting names them
- 3+ years of industry experience in software engineering - Strong backend fundamentals, especially in Go,Python and the ability to own a service in production - 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
About the Team 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. 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. About the Role

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

About DoorDash USA

People
About 31,400 in 2025, up 32% from the year before.Annual report (SEC Form 10-K)
Company
Listed as DASH.
H-1B visas
223 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

DoorDash is building the world's most reliable on-demand, logistics engine for delivery! 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.

About the Team

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. 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.

About the Role

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.

You’re excited about this opportunity because you will…

  • Ship agentic analytics features to thousands of users  where a wrong number is a real business decision made badly, and accuracy is the product
  • 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
  • Streaming large result sets to the browser, rendering dozens of interdependent tiles.
  • Build the AI experience inside that platform: agent-assisted query authoring, generated charts and widgets held to the same governance as hand-built ones
  • Evolve the semantic layer  metric and dimension modeling, definition governance, lineage  and expose metadata in forms a model can actually reason over
  • 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

We're excited about you because you have…

  • 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,Python and the ability to own a service in production 
  • 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
  • Prompt and context optimization at scale -  caching, token budgeting, cost/latency tuning
  • Full stack experience is a plus

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. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). 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:

  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
The national base pay range for this position within the United States, including Illinois and Colorado.
$130,600—$192,000 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool  in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
The national base pay range for this position within the United States, including Illinois and Colorado. $130,600—$192,000 USD About DoorDash
Location & working pattern

San Francisco, CA; Sunnyvale, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.