SLAM Engineer, Calibration, Mapping & Localization

DoorDash USA•San Francisco, CA

11d

About The Position

DoorDash Labs is an independent team within DoorDash, focused on building autonomous delivery robots from the ground-up and other automation solutions for DoorDash's core delivery platform. This role will contribute to scaling the robot fleet by advancing large-scale HD mapping and robust localization capabilities. The position involves elevating HD map quality and coverage, and building highly robust relative and absolute localization systems for dynamic urban environments. The individual will own architecture, drive implementation, and help set technical direction within a fast-moving organization.

Requirements

B.S., M.S., or PhD. in Computer Science, Robotics or related technical field
4+ years of industry experience working within the AV, Robotics, embedded systems or equivalent industry.
Experience with C/C++ and Python.
Deep expertise in 3D geometry, spatial reasoning
LiDAR- and/or vision-based 3D registration (ICP variants, feature-based, global registration, loop closure)
Large-scale non-linear optimization
State estimation (EKF/UKF, factor graphs, smoothing and filtering techniques)

Nice To Haves

Experience with modern deep learning algorithms and frameworks.
Experience with multi-modal localization (e.g. leveraging lidar, camera, and radar sensors to achieve robust localization).

Responsibilities

Architect and deploy production-grade SLAM systems for large-scale HD maps.
Design and implement robust 3D registration pipelines for real-world, noisy, and large environments.
Develop robust state estimation systems for localization handling real-world challenges.
Partner cross-functionally with perception, hardware, and autonomy teams to deliver tightly integrated solutions.