Senior Autonomous Planner Engineer: Motion & Trajectory

DoorDash USA; United States; Remote; USD 199,000 - 292,000; Full time

Benefits offered by this job

Equity grants

401(k) plan

Parental leave

Comprehensive benefits

Job summary

DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on automation and robotics solutions to enhance last-mile logistics. We are seeking a Senior Planner Engineer with a proven track record in production autonomy systems, specializing in motion planning and trajectory optimization for dynamic environments.

The role requires designing, implementing, and deploying planning algorithms that are robust, reliable, and performant, in collaboration with perception,

Qualifications

• BS/MS/PhD in CS, EE, Robotics or related field; or equivalent practical experience.
• Strong C++ production-quality software experience.
• Experience developing or deploying motion planning, trajectory optimization, robotics, or real-time decision-making systems.
• Comfortable with data-driven evaluation, simulation, and performance metrics.

Responsibilities

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

Skills

C++ programming

Motion planning

Trajectory optimization

Data-driven evaluation

Education

CS/EE/Robotics degree

Job description

DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on automation and robotics solutions to enhance last-mile logistics. We are seeking a Senior Planner Engineer with a proven track record in production autonomy systems, specializing in motion planning and trajectory optimization for dynamic environments.

The role requires designing, implementing, and deploying planning algorithms that are robust, reliable, and performant, in collaboration with perception,