Helix AI Engineer, Localization and Mapping
- Salary
- $200,000 - $400,000 per year
- Level
- Mid
Not stated in the posting: work type, visa.
Open. First seen 2 October 2026.
About the role
Figure's standard text
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our AI team is looking for Localization and Mapping Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments.
Responsibilities:
Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors).
Build and maintain scalable, offline pose-tracking pipelines to process large-scale training data from diverse sources.
Develop and optimize multi-sensor calibration systems for humanoid robotics and data collection platforms.
Partner with cross-functional teams to build comprehensive, data-driven evaluation and testing frameworks.
Design, engineer, and deploy high-quality, reliable software solutions for real-world robotics applications.
Requirements:
Deep technical expertise in solving complex estimation and nonlinear optimization problems.
Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM).
Experience writing performant C++ software.
Hands-on experience with sensor calibration (e.g., multi-camera and IMU intrinsics/extrinsics).
Ability to thrive in a fast-paced, ambiguous environment that requires rapid exploration and iteration.
Passion for advancing humanoid robotics technology.
Bonus Qualifications:
Experience implementing visual-inertial SLAM systems on legged robotic platforms.
Background in estimation problems related to human motion capture or AR/VR applications.
Experience applying state-of-the-art Deep Learning approaches to SLAM, 3D reconstruction, or human pose estimation.
The US base salary range for this full-time position is $200,000 to $400,000 per year.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
What this role asks for
Particular to this role
Computer Vision · Deep Learning
Rare in Figure's other 55 open postings.
85% of this description is written for the role. The rest is Figure's standard text, folded away below.
Read against Figure's other open postings on this site.
The team: AI - Helix Team
This role is one of 8 open in AI - Helix Team.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Computer Vision (4 of 8), Python (4 of 8), C++ (3 of 8), Deep Learning (3 of 8), AWS (2 of 8), CUDA (2 of 8), GCP (2 of 8)
OTHER ROLES ON THIS TEAM
- Helix AI Engineer, Training Performance posted Aug 14
- Helix AI Engineer, XR posted Jul 22
- Helix AI Engineer, Backend posted May 28
- Helix AI Engineer, Video Pretraining posted Apr 9
- Helix AI Engineer, Android posted Mar 6
- Helix AI Engineer, Data Infrastructure posted Mar 14
- Helix AI Engineer, Perception posted Nov 15
From the team and dates on Figure's own job board.
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