Figure’s vision is to deploy autonomous humanoids at a global scale. Our AI team is looking for Localization and Mapping Software Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments.

Responsibilities:

Design, implement, test, and deploy localization and mapping algorithms for humanoid robots, fusing information from cameras, IMUs and other sensors
Own tracking and odometry modules at Figure
Implement onboard, real-time tracking and odometry software
Build evaluation pipelines, including data collection and metrics, in collaboration with other Figure teams
Engineer and ship high quality, reliable software that will be deployed to the real world
Collaborate with other Figure team members to develop and continuously improve the full autonomy stack

Requirements:

Have a deep knowledge of classical computer vision techniques (feature detection, stereo matching, structure from motion etc)
Industry experience building robust odometry applications, preferably visual inertial odometry
Familiar with Deep Learning techniques for Localization and Mapping applications, especially feature detection and pose regression
Hands-on experience with sensor calibrations (e.g. stereo cameras, camera and IMU extrinsics)
Capable of quickly writing massive amounts of high quality, well-tested, perception software
Thrive in a high pace environment, where solutions are often unclear and require exploration
Passionate about building humanoid robots

Bonus Qualifications:

Experience with addressing edge cases from localization and mapping solutions deployed at scale
Experience with the initialization of visual inertial odometry
Research background in SLAM and/or publications in localization and mapping applications

Figure

Localization and Mapping Software Engineer

San Francisco, CA (Onsite)full-time