Senior Motor Control Engineer

DoorDash
San Francisco, CAPosted 10 April 2026

Job Description

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 have a passion for applying robotics solutions in a service used by millions of people, we want to talk to you! About the Role In this role, your main focus will be to ship embedded control algorithms for various ECUs that operate the powertrain and other systems of the robot. Additionally, you will rigorously test the robot’s performance at various levels (simulation, component testing, end-to-end road testing etc.) and continuously seek to improve development processes, testing methods, bug triage and robot performance. You will report to a Technical Lead on our Autonomy team. You’re excited about this opportunity because you will… Design and implement algorithms for closed-loop vehicle controls, supervisory controls, thermal management and auxiliary controls of various robot systems. Build infrastructure (test cases, plant models, functional models) to systematically verify the behavior of algorithms Proactively design features/systems/processes to exceed the needs of internal customers i.e. robot operations, field service, autonomy software stack and hardware Define and solve new problems not listed here using new skills and knowledge that you may have to acquire on the fly! What we’re looking for… BS/MS degree in Robotics, Mechatronics, Electrical, Mechanical Engineering or related technical field Experience developing and testing brushless motor controls 5+ years hands-on experience of building robots, autonomous vehicles or other complex mechatronics systems Proficiency in model based design using MATLAB/Simulink/Stateflow and Strong understanding of fundamental parts of robotics or mechatronics systems: feedback control, sensors, actuators, embedded controllers, CAN communication Working knowledge of C and Python Nice to have... Experience in building physical models of mechatronic systems for simulation Strong understanding of road vehicle dynamics Deep respect and understanding for a principled and rigorous approach to testing safety-critical systems Ability to write clear, concise and complete documentation of designs and tasks Comfortable using source control and build automation tools like Git, jenkins etc. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 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 (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-for ... (truncated, view full listing at source)
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