Autonomy Simulation Engineer
About The Position
DoorDash Labs is an independent team within DoorDash that explores robotics and automation for long-term improvements to last-mile logistics. The Simulation team develops software, models, and environments to test on-road autonomous robot behavior and evaluate autonomy changes before deployment. The Autonomy Simulation Engineer will improve simulation fidelity and accelerate the development and validation of autonomous delivery robots. The role develops production simulation software and models of robot behavior and interactions with the environment, using real-world data and repeatable experiments to calibrate and validate them. The engineer works closely with autonomy and robotics engineers, owns projects from design through validation, and reports to the Simulation Lead. The role is hybrid, with some time in-office and some time remote.
Requirements
- Strong production experience with C++ and Python.
- Ability to translate real-world behavior and physical systems into practical software models.
- Experience building closed-loop or interactive simulation software, with depth in areas such as robot dynamics, physics, road-user behavior, synthetic scenario generation, or probabilistic modeling.
- Experience using real-world data and controlled, repeatable experiments to test, calibrate, or validate software models.
- Experience debugging complex systems and delivering reliable production software using Linux, Git, automated testing, and CI.
Nice To Haves
- Experience applying machine learning to simulation modeling and validating learned models against real-world data.
Responsibilities
- Develop and maintain the simulation engine and supporting software.
- Build and improve simulation models of robot behavior, other participants, and their interactions.
- Calibrate and validate simulation models against real-world behavior using controlled, repeatable experiments.
- Develop parameterized environments and synthetic scenarios to test conditions and interactions that are difficult to capture in the field.
- Investigate differences between simulated and real-world behavior, identify contributing model assumptions and parameters, and implement improvements.
- Improve simulator reproducibility, reliability, usability, and debuggability.
- Own projects from design through validation.
Benefits
- 401(k) plan with employer matching
- Paid parental leave (16 weeks)
- Wellness benefits
- Commuter benefits match
- Paid time off
- Paid sick leave
- Equity grants
- Medical benefits
- Dental benefits
- Vision benefits
- 11 paid holidays
- Disability insurance
- Basic life insurance
- Family-forming assistance
- Mental health program
- Flexible paid time off/vacation for salaried roles
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
