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DoorDash

Senior Software Engineer, Infrastructure – Labs

DoorDash

Infrastructure Software Engineer at DoorDash Labs designing systems for autonomous delivery robots. Collaborating with teams to improve infrastructure for simulation testing and machine learning.

Posted 5/19/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $159,800 - $235,000 per yearWebsite

Tech Stack

Tools & technologies
DockerKubernetesPythonRaySparkSQLTerraform

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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
  • Medical, dental, and vision benefits
  • 11 paid holidays
  • Disability and basic life insurance
  • Family-forming assistance
  • Mental health program

ATS Keywords

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Hard Skills & Tools
PythonC++SQLdata structuresalgorithmsdistributed data processingGPU-accelerated computinglarge-scale systemsrobot data pipelinesmetrics pipelines
Soft Skills
decision-makingcollaborationpassion for software qualityreliability