Autonomy Simulation Engineer
DoorDash USA · Oakland, CA
About this role
**Autonomy Simulation Engineer** **About the Team** DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you’re passionate about applying robotics solutions in a service used by millions of people, we’d love to talk. **About the Role** The Simulation team builds software, models, and environments to test on-road autonomous robot behavior and evaluate autonomy changes before deployment. You’ll improve simulation fidelity and accelerate the development and validation of autonomous delivery robots. You will develop 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. You’ll work closely with autonomy and robotics engineers, own projects from design through validation, and report to the Simulation Lead. This role is **hybrid** (some time in-office, some time remote). **You’ll be excited about this opportunity because you will…** - 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/parameters, and implement improvements. - Improve simulator reproducibility, reliability, usability, and debuggability. **We’re excited about you because…** - You have strong production **C++** and **Python** experience. - You can translate real-world behavior and physical systems into practical software models. - You have 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. - You’ve used real-world data and controlled, repeatable experiments to test, calibrate, or validate software models. - You can debug complex systems and deliver reliable production software using **Linux, Git, automated testing, and CI**. - Experience applying **machine learning** to simulation modeling and validating learned models against real-world data is a plus. **Compensation & Benefits** - **National base pay range (US): $198,600 — $292,000 USD** (localized by work location; market-dependent and may change). - Equity grants may be included. - Comprehensive benefits package including 401(k) with employer matching, paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave, medical/dental/vision, paid holidays, disability/basic life insurance, family-forming assistance, and a mental health program. **About DoorDash** DoorDash’s mission empowers local economies. We’re a technology and logistics company focused on helping people get any and all goods—fast. We’re committed to supporting employees’ well-being through comprehensive benefits and perks. **Diversity & Inclusion** DoorDash is committed to building an inclusive community and hiring diverse teams. If you need accommodations, inform your recruiting contact upon initial connection. **Notice Regarding Use of AI and Automated Tools** DoorDash uses an automated
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