Tech jobs
Job listings
Engineering Manager, Parcel
Engineering Manager at DoorDash leading a team of 8+ engineers (Android, full-stack, backend) building mid-mile transportation and logistics systems for long-distance parcel deliveries across the US, including integrations with external transportation aggregators and an in-house TMS.
Design Lead
Design Lead in DoorDash's in-house creative studio (Superette), leading a small design team as a player/coach to produce creative that balances brand storytelling with growth performance across CRM, lifecycle, paid media, and campaigns. Core tools: Figma, Adobe Creative Suite (especially After Effects), and AI-powered creative workflows.
Autonomy Platform Engineer
As an Autonomy Platform Engineer at DoorDash Labs, you build and maintain the foundational platform software behind the robot autonomy stack — embedded Linux, sensors, middleware, process orchestration, observability, and data capture/replay. Core work is production C++ and Python across hardware and software layers.
Senior Associate, AI Solutions Architect, Marketing Technology
Senior Associate, AI Solutions Architect on DoorDash's Marketing Technology team builds and ships AI-powered tools and automations for Marketing — prototyping MVPs, integrating AI APIs into the marketing tech stack, and driving adoption. Requires hands-on coding in JavaScript/TypeScript/Python plus APIs, Postgres, SQL, and AI tooling experience.
Staff Product Designer, New Bets
Staff product designer leading design for 'Meals for Work' within DoorDash for Business, crafting consumer and enterprise workplace-dining experiences (team meals, catering, recurring meals, grocery benefits). Day to day: defining projects, shipping high-fidelity designs and production prototypes using code and LLM-powered tools, and multiplying team capacity through mentorship.
Machine Learning Intern (Masters) - Summer 2027
A 12-week Summer 2027 machine learning research internship for Masters students at DoorDash. The intern conducts applied ML/AI research (ranking, recommender systems, computer vision, causal inference, ads) to improve discovery, ads, forecasting, fulfillment, and search, using Python or systems languages and ML frameworks like TensorFlow/PyTorch.
Machine Learning Intern (PhD) - Summer 2027
DoorDash is hiring PhD students for a 12-week Summer 2027 machine learning internship in San Francisco, Sunnyvale, NYC, or Seattle. Interns conduct applied ML research (recommender systems, ranking, ads, computer vision, causal inference) to improve DoorDash's discovery, ads, search, forecasting, and fulfillment experiences.
Software Engineer, Full Stack - Experimentation Platform
Full-stack engineer on DoorDash's Experimentation Platform, building backend services, SDKs, and the React-based Decision Portal UI that thousands of internal users rely on to design, configure, launch, and analyze experiments. Work spans TypeScript/React, REST/gRPC backend APIs (Java, Kotlin, Python, or Go), storage-layer choices, and LLM-powered experimentation tooling.
Engineering Manager, Consumer Promotion Experience
People-manager role leading DoorDash's Consumer Promotion Experience team within the Ads & Promotions org: managing backend and frontend engineers building marketing/promotion tools for restaurants, brands, and internal use. Day to day: driving the roadmap, coaching and hiring engineers, and partnering with product, design, and sales.
Senior Product Manager, People Product
Senior IC product manager owning DoorDash's internal compensation range-setting stack — the range tool, recommendation engine, and monitoring dashboard that set pay across every job family, level, and country. Day to day: shaping data pipelines, AI-assisted recommendations, and integrations with Workday and adjacent comp products in partnership with Compensation and People Analytics.
Staff Security Engineer, DoorDash Labs - Air
Staff security engineer acting as the dedicated security owner for DoorDash Labs' drone delivery program (Air), securing drones, docking/charging infrastructure, firmware, and the networks connecting them. Day-to-day is hands-on IoT/robotics security work — designing secure networking, reviewing designs, and validating controls on-site — using tools like Tailscale, Python/Go, AWS/GCP, and Terrafor
Senior Associate, QA Automation, Marketing Technology Operations
Senior Associate on DoorDash's MarTech Operations team who owns the quality backbone for retention marketing campaigns: building out QA automation tooling, shifting manual campaign QA to automated workflows, automating ship reviews, and tracking quality metrics. Core stack includes Braze, Salesforce, CDPs, SQL, and dashboards.
Software Engineer, Intern - Labs (Summer 2027)
Software engineering internship at DoorDash Labs focusing on robotics, perception, and autonomy. Interns develop and ship products using Python, Java, or Kotlin while working on autonomous delivery systems, cloud infrastructure, or machine learning models.
Software Engineer, Machine Learning Platform - Gen AI
Engineer on DoorDash's GenAI Platform team building production ML infrastructure: real-time GPU serving and high-throughput batch inference for open-weight LLMs/VLMs, plus fine-tuning (SFT/DPO/LoRA), LLM Gateway, evals, guardrails and cost attribution. Core stack: Python, distributed systems, GPU inference engines, Kubernetes, AWS/GCP.
Software Engineer, ML Serving Platform
Builds and operates DoorDash's ML serving platform — request routing, online feature retrieval, and model inference on CPU/GPU infrastructure handling tens of millions of predictions per second. Day to day: designing and rolling out services in backend languages like Java/Kotlin/Go while improving Kubernetes autoscaling, reliability, and self-serve tooling for internal ML teams.
Business Systems Analyst, Procure-to-Pay
DoorDash is hiring a Business Systems Analyst on its Business Technology Procure-to-Pay team to configure, support, and improve finance systems like Coupa, Zip, and IntelAgree. Day to day, they handle system requests and incidents, translate Finance partners' needs into requirements and designs, build automations and integrations (including AI tooling), and keep processes SOX-compliant.
Engineering Manager, Merchant Knowledge Platform
Engineering Manager leading DoorDash's Merchant Knowledge Platform team, which serves merchant, store, menu, and catalog data to experiences across DoorDash, Wolt, and Deliveroo. The role owns technical direction and roadmap, guides large-scale distributed-systems design, and coaches engineers. Hybrid role requiring presence in the New York metro area.
Senior Machine Learning Engineer, Drive
Senior ML Engineer on DoorDash's Drive team, owning end-to-end machine learning systems for delivery ETA, merchant prep-time, and order release prediction, plus logistics optimization and AI quality signals built with deep learning, reinforcement learning, and LLMs/VLMs. On-site in San Francisco, Sunnyvale, or Seattle.
Senior Machine Learning Engineer, New Verticals Agentic Foundations
Senior ML engineer on DoorDash's Agentic Foundations team building and improving LLM-powered agents (starting with the Ask grocery assistant) via an eval-driven loop — iterating on prompts, tools, and context, and fine-tuning/deploying small language models to balance quality, latency, and cost, while launching new agent experiences for merchants and dashers.
Senior Software Engineer, Backend (All Teams)
Senior Backend Engineer at DoorDash developing and running large-scale backend services for its on-demand delivery logistics marketplace: defining backend architecture, moving from a monolith to microservices, and improving performance, reliability, scalability, and security. Hybrid role (some in-office) across SF, NYC, Sunnyvale, and Seattle.