Software Engineer, Data and AI Platform

DoorDash; San Francisco, Sunnyvale (CA, CA); On-site; USD 131,000 - 285,000; Full time

Benefits offered by this job

Equity grants

401(k) plan

Paid parental leave

Wellness benefits

Commuter benefits

Paid time off

Job summary

DoorDash is building a world-class data platform team to own the full path from a question to an answer, powering dashboards, reports, and AI-assisted analytics for thousands of users across our marketplace. You will collaborate with data engineers, product teams, and operators to shape the semantic layer, governance, and multicore caching as you deliver reliable insights in production.

You will partner on semantic modeling, data discovery, and metadata workflows while evolving the AI

Qualifications

• 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.

Responsibilities

• 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.
• 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.

Skills

Go

Python

LLM features

Retrieval grounding

AWS

Kubernetes

MCP

Tool-calling

Data governance

Caching systems

Prompt optimization

Full stack

Education

Bachelor's/Master's/PhD in CS

Tools

Snowflake

Spark

ClickHouse

Kubernetes

Job description

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
• 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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

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.

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).

The national base pay ranges for this position within the United States, including Illinois and Colorado.

I4

$130,600 - $192,000 USD

I5

$159,800 - $235,000 USD

I6

$193,800 - $285,000 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 - 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 to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only