Doordash-posted 6 months ago
$159,800 - $235,000/Yr
Full-time • Senior
San Francisco, CA
Couriers and Messengers

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.

  • Develop, implement, and tune control algorithms for autonomous ground/flight platforms.
  • Design and validate control strategies for stability, performance, and robustness across a range of operating regimes.
  • Own the full controls toolchain, from simulation to embedded deployment.
  • Implement real-time control software in C++ on embedded platforms, ensuring tight integration with onboard sensors and actuators.
  • Work closely with systems, hardware, autonomy, and test teams to validate performance in field environments.
  • Analyze flight data, perform system identification, and iterate rapidly on control architecture and parameters.
  • Contribute to simulation environments, plant models, and HIL/SIL infrastructure as needed.
  • Bachelor's or Master's degree in Aerospace Engineering, Robotics, Electrical Engineering, or a related field.
  • 8+ years of experience in GNC or control systems engineering for autonomous vehicles.
  • Strong background in classical and modern control theory, estimation, and systems dynamics.
  • Demonstrated experience implementing control algorithms in C++ on embedded systems.
  • Proficiency with control system development tools (e.g., MATLAB/Simulink, Python, Eigen, or similar).
  • Deep familiarity with real-world flight control tuning, testing, and diagnostics.
  • Ability to operate independently, own complex systems, and deliver in fast-paced environments.
  • Experience with aerospace or robotic systems operating in field or mission-critical contexts.
  • Familiarity with embedded software development practices, real-time constraints, and flight-critical software.
  • Knowledge of navigation, sensor fusion, and attitude estimation.
  • Experience with flight test operations, data analysis, and post-mortem debugging.
  • Exposure to safety-critical design, fault tolerance, and redundancy management.
  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Wellness benefits
  • Commuter benefits match
  • Paid time off and paid sick leave
  • Medical, dental, and vision benefits
  • 11 paid holidays
  • Disability and basic life insurance
  • Family-forming assistance
  • Mental health program
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