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DoorDash USA

Hardware Integration Engineer, DoorDash Air

Oakland, CA; San Francisco, CAFrom $161kmidAdded 4 weeks ago

About this role

DoorDash Labs seeks a Hardware Integration Engineer to build and maintain autonomous delivery robots from conception through operational deployment. You'll serve as the technical lead across hardware, software, and operations teams, handling system integration, testing, troubleshooting, and documentation for next-generation robotic vehicles.

What you'll do

  • Develop deep expertise on autonomous robotic vehicles and serve as subject matter expert across the organization
  • Design, prototype, and install proof-of-concept systems, sensors, and vehicle integrations
  • Guide vehicles through their complete lifecycle from initial build-out to delivery and testing
  • Build and validate test benches for mechanical, electrical, embedded, and software systems
  • Perform root cause analysis and troubleshooting to minimize vehicle downtime
  • Create technical documentation, assembly procedures, and manage component provisioning for expanding fleets

What they're looking for

  • Autonomous vehicle hardware systems
  • AV sensor components (LiDAR, RADAR, GPS, cameras)
  • Electrical schematic interpretation and reading datasheets
  • Soldering, crimping, and cable management
  • CAD/3D modeling (SolidWorks, Onshape, or equivalent)
  • Electromechanical repair and diagnostic tools
  • Shop equipment operation (CNC, machining, welding, 3D printing)
  • Python, ROS, Linux, and microcontroller programming (preferred)
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DoorDash USA

DoorDash USA is building autonomous delivery systems including drones and robots, along with internal infrastructure platforms to support large-scale operations. The company is hiring robotics engineers, autonomous systems specialists, infrastructure engineers, and platform software engineers to develop flight control systems, mapping and localization capabilities, and distributed computing platforms.

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Likely interview questions

  • Walk us through your experience integrating autonomous vehicle sensors like LiDAR, RADAR, GPS, and cameras into a robotic system. What challenges did you face and how did you resolve them?
  • Describe a time when you had to troubleshoot a complex electromechanical system using root cause analysis. What diagnostic tools and methods did you use?
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