The Infrastructure Software Engineer role at DoorDash Labs focuses on developing and improving the infrastructure for autonomous delivery robots. The team is dedicated to building a robust infrastructure that supports large-scale simulation testing, continuous integration, and machine learning. This position involves significant decision-making responsibility and collaboration with various stakeholders. The ideal candidate will have a strong background in software engineering and a passion for robotics solutions.

• A B.S., M.S., or PhD. in Computer Science, Robotics, or a 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 such as Ray, Spark, or Flink.

• Design and implement infrastructure to enable autonomous vehicle development.
• Develop large-scale distributed simulation execution capabilities.
• Handle the ingestion, processing, and organization of petabyte-scale datasets.
• Implement GPU-accelerated distributed computing for data preparation and training.
• Design and implement robot data and metrics pipelines.
• Collaborate with core autonomy teams including motion planning, perception, and simulation.