Senior Motion Planning Engineer – Autonomy Robotics

DoorDash, Inc.; Salt Lake City (UT); Sur place; USD 199 000 - 292 000; Plein temps

Avantages offerts par ce poste

401(k) plan with employer matching

16 weeks of paid parental leave

Wellness benefits

Commuter benefits match

Paid time off and paid sick leave

Résumé du poste

DoorDash Labs is seeking a seasoned Senior Planner Engineer to lead production-grade autonomy systems, focusing on motion planning and trajectory optimization in dynamic environments. You will design and deploy robust planning algorithms for autonomous delivery, collaborating with cross-functional teams to improve safety and efficiency.

The role requires a track record of shipping autonomous products, strong C++ software skills, and deep expertise in planning and decision-making algorithms.

Qualifications

• Strong C++ software engineering experience building robust, production-quality systems.
• Experience developing or deploying motion planning, trajectory optimization, robotics, or real-time decision-making systems.
• Familiarity with data-driven evaluation, simulation, and performance metrics to guide engineering decisions.
• Education or equivalent practical experience in CS, EE, Robotics, or related field.

Responsabilités

• Design and ship real-time behavior and motion planning features for complex urban/suburb driving scenarios.
• Lead automation of root-cause analysis and reduce planner-related disengagements and failures.
• Build scalable evaluation, simulation, and validation frameworks for safe rollout to new geo-fenced regions.
• Collaborate with perception, prediction, controls, and platform teams to improve autonomy.
• Contribute to architecture decisions that enhance planner robustness and efficiency.

Connaissances

C++

Motion planning

Trajectory optimization

Real-time decision-making

Formation

BS/MS/PhD in CS, EE, Robotics or related field

Description du poste

DoorDash Labs is seeking a seasoned Senior Planner Engineer to lead production-grade autonomy systems, focusing on motion planning and trajectory optimization in dynamic environments. You will design and deploy robust planning algorithms for autonomous delivery, collaborating with cross-functional teams to improve safety and efficiency.

The role requires a track record of shipping autonomous products, strong C++ software skills, and deep expertise in planning and decision-making algorithms.