About this role
About the Team
DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior and nimble team composed of a core group of veterans from a variety of different robotics industries.
About the Role
We are seeking a seasoned Senior Planner Engineer with a proven track record of shipping production-level autonomy systems, with deep expertise in motion planning and trajectory optimization for unstructured, highly dynamic environments. The engineers will design, implement, and deploy behavior and motion planning algorithms that generate safe, reliable, and efficient motion plans amid uncertain agent behaviors and real-time unstructured constraints enable safe, reliable, and fully autonomous delivery. The ideal candidate has lived through the full development lifecycle of an autonomous product and intimately understands the practical challenges and trade-offs required to build planning systems that are not just novel, but robust, reliable, and performant. You will be a key technical voice, expected to solve our most critical challenges by drawing upon your extensive prior experience in the field.
You’re excited about this opportunity because you will…
• Design and ship real-time behavior and motion planning features for complex urban/suburb driving scenarios. Especially motion planning and trajectory optimization for unstructured highly dynamic environments
• Lead automation of root-cause analysis and systematically eliminate planner-related disengagements and long-tail failures.
• Build scalable evaluation, simulation, and validation frameworks to ensure safe rollout to new 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, generalization, and computational efficiency.
We’re excited about you because…
• You have a BS/MS/PhD in CS, EE, Robotics, or a related technical field, or equivalent practical experience.
• You have strong C++ software engineering experience building robust, production-quality systems.
• You have experience developing or deploying motion planning, trajectory optimization, robotics, or real-time decision-making systems.
• You are comfortable working with data-driven evaluation, simulation, and performance metrics to guide engineering decisions.
We expect this position to be filled by 12/21/2026 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, qua