обновлено 6 дней назад
Software Engineer, Planning & Controls - Autonomy & Robotics, DoorDash Air (Robotics)
198 600 - 292 000$
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Описание вакансии
Текст:
TL;DR
Software Engineer, Planning & Controls - Autonomy & Robotics, DoorDash Air (Robotics): Developing flight control, motion planning, and mission planning algorithms for robust, fault-tolerant drone delivery with an accent on embedded C++, aircraft dynamics, and flight testing. Focus on designing controllers, building trajectory and route planners, and solving fault-tolerant control challenges for multirotor and hybrid aircraft.
Location: San Francisco, California, United States
Salary: $198,600–$292,000 USD annually, plus potential equity grants.
Company
Labs is an independent team developing robotics and automation solutions for long-term last-mile logistics.
What you will do
- Develop and tune low-level flight-control algorithms for overactuated multirotor and hybrid aircraft on embedded platforms.
- Own aircraft dynamics simulation and aerodynamic modeling.
- Bring up and tune flight controllers on new drone platforms, including flight testing and iteration.
- Develop fault-tolerant controls for motor loss, safe landing, and emergency behaviors.
- Build trajectory motion-planning algorithms for smooth flight and obstacle avoidance.
- Help develop high-level mission route planning with fallback locations.
Requirements
- Strong foundation in linear and nonlinear systems, stability analysis, controller synthesis and tuning, frequency-domain analysis, optimization, and linear algebra.
- Excellent knowledge of C++ and embedded systems.
- Experience with dynamics modeling, simulation, aerodynamics, flight-controller development, tuning, and state-estimation interfaces.
- Knowledge of motion-planning algorithms, including trajectory optimization, nonlinear optimization, and A*/D*/RRT variants.
- Experience with sensorless brushless DC motor control and end-to-end robot control-stack development through hardware testing.
- MS or PhD in electrical engineering, mechanical engineering, computer science, robotics, or a related technical field.
Nice to have
- Familiarity with PX4 internals, including mixer, rate controller, and position controller.
- Experience with hybrid VTOL transition control or tethered and suspended payload dynamics.
- Contributions to open-source flight stacks or robotics frameworks.
- Published research in controls, motion planning, or aerial robotics.
- Experience developing and deploying Model Predictive Controllers, including formulation and solver development.
Culture & Benefits
- Work as part of a small, focused autonomy software team.
- Comprehensive medical, dental, and vision benefits.
- 401(k) plan with employer matching, paid parental leave, paid holidays, paid time off, and paid sick leave.
- Wellness, commuter, disability, life insurance, family-forming, and mental-health benefits.
- Flexible paid time off and vacation for salaried roles.
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