SLAM Engineer, Calibration, Mapping & Localization

DoorDash USA•Sunnyvale, CA

11h•$168,000 - $247,000

About The Position

In this role, you will help scale our fleet of robots by advancing our large-scale HD mapping and robust localization capabilities. This includes things like elevating HD map quality and coverage, and building highly robust relative and absolute localization systems that perform reliably in dynamic urban environments. You will operate in a fast-moving organization owning architecture, driving implementation, and helping set the technical direction.

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.