Software Engineer, Data and AI Platform (San Francisco)

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. 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.

Key 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
• 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
• Evolve the semantic layer metric and dimension modeling, definition governance, lineage and expose metadata in forms a model can actually reason over
• Planning and federation across different query engines and invalidation correctness, and safe execution under agent traffic that bursts and fans out

Requirements

• 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

Location and schedule

• Onsite in San Francisco, California

Salary and benefits

US base salary $130,600 to $192,000 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.