The Infrastructure Software Engineer role at DoorDash Labs focuses on developing and improving infrastructure for autonomous vehicle development. The team is dedicated to enhancing last-mile logistics through automation and robotics solutions. You will collaborate with various stakeholders to design and implement systems that support large-scale simulation testing and machine learning. This position offers significant scope and decision-making responsibility within a highly experienced team.

• 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.
• Passion for software quality and reliability.

• Design and implement infrastructure to enable autonomous vehicle development.
• Execute large-scale distributed simulation.
• Ingest, process, and organize petabyte-scale datasets.
• Utilize 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.