Software Engineer, Planning & Controls - Autonomy & Robotics

Responsibilities

• Develop and tune low-level flight control algorithms for overactuated multirotor and hybrid aircraft on embedded platforms
• Own the dynamics simulation and aerodynamics modeling of the aircraft
• Bring up and tune flight controllers on new drone platforms
• Develop, tune, and test fault-tolerant control behaviors
• Build a trajectory motion planner for smooth flight and obstacle avoidance
• Help develop high-level mission route planners with fallback locations

Requirements

• Deep controls fundamentals including linear/nonlinear systems and stability analysis
• Excellent knowledge of C++ and embedded systems
• Experience with dynamics modeling, simulation, and aerodynamics
• Experience developing and tuning flight controllers and interfacing with state estimation
• Knowledge of motion planning algorithms like A*, D*, or RRT variants
• Experience with sensorless brushless DC motor control
• MS/PhD degree in EE, ME, CS, Robotics, or a related technical field

Preferred Qualifications

• Familiarity with PX4 internals
• Experience with hybrid VTOL transition control
• Experience with tethered or suspended payload dynamics
• Contributions to open-source flight stacks or robotics frameworks
• Published papers in controls, motion planning, or aerial robotics
• Experience developing a Model Predictive Controller (MPC)

About the Company

DoorDash Labs is an independent team within DoorDash exploring robotics and automation to transform last mile logistics. We aim to apply robotics solutions to services used by millions of people.