DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better.
About the RoleWe’re hiring an Infrastructure Software Engineer. In this role, you’ll work with multiple stakeholders including Product, Engineering, and Operations to develop and improve our infrastructure. The Infrastructure team designs, builds, and operates the infrastructure that enables large scale simulation testing, continuous integration, and machine learning.
You’re excited about the role because you will… Have significant scope and decision-making responsibility Design and implement infrastructure to enable autonomous vehicle development, including: Large-scale distributed simulation execution Ingest, processing, and organization of petabyte-scale datasets GPU-accelerated distributed computing for data preparation and training Design and implement robot data and metrics pipelines Collaborate with core autonomy teams: motion planning, perception, and simulation We’re excited about you because you have… A B.S., M.S., or PhD. in Computer Science, Robotics or related technical field In-depth knowledge of data structures and algorithms. Strong Python programming experience Experience with operationalizing large-scale systems Experience with at least one distributed data processing framework (Ray, Spark, Flink, etc) Passionate about software quality and reliability Nice to have: C++ SQL Kubernetes Docker Terraform Experience with GPU-accelerated systems Robotics domain experience/knowledge
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