Software Engineer, Infrastructure - Autonomy & Robotics
About The Position
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. We’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.
Requirements
- 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
- Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.
Nice To Haves
- C++
- SQL
- Kubernetes
- Docker
- Terraform
- Experience with GPU-accelerated systems
- Robotics domain experience/knowledge
Responsibilities
- 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
Benefits
- 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)
- medical, dental, and vision benefits
- 11 paid holidays
- disability and basic life insurance
- family-forming assistance
- a mental health program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
