SLAM Engineer — HD Mapping & Robust Localization

Socket.dev; San Francisco (CA); On-site; USD 168,000 - 247,000; Full time

Benefits offered by this job

401(k) plan with employer matching

Paid parental leave

Medical, dental, and vision benefits

Paid time off and paid sick leave

Job summary

DoorDash Labs, an independent team within DoorDash, is scaling robotic solutions for autonomous delivery. You will help advance HD mapping and robust localization, building reliable SLAM and 3D registration systems for dynamic urban environments.

You will own architecture, drive implementation, and set the technical direction while collaborating with perception, hardware, and autonomy teams to deliver tightly integrated solutions.

Qualifications

• B.S., M.S., or PhD in Computer Science, Robotics or related technical field.
• 4+ years of industry experience in AV, robotics, embedded systems or equivalent.
• Experience with C/C++ and Python.
• Deep expertise in 3D geometry and spatial reasoning.
• Experience with LiDAR- and/or vision-based 3D registration (ICP variants, feature-based, global registration, loop closure).
• Experience with large-scale non-linear optimization and state estimation (EKF/UKF, factor graphs, smoothing).
• Nice to have: experience with modern deep learning algorithms and multi-modal localization.

Responsibilities

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

Skills

3D geometry

Spatial reasoning

State estimation

Non-linear optimization

Education

B.S./M.S./PhD in CS/Robotics

Tools

C/C++

Python

ICP variants

Feature-based registration

Global registration

Loop closure

EKF/UKF

Factor graphs

Job description

DoorDash Labs, an independent team within DoorDash, is scaling robotic solutions for autonomous delivery. You will help advance HD mapping and robust localization, building reliable SLAM and 3D registration systems for dynamic urban environments.

You will own architecture, drive implementation, and set the technical direction while collaborating with perception, hardware, and autonomy teams to deliver tightly integrated solutions.