Helix AI Engineer, Localization and Mapping
Figure · San Jose, CA ·
- Employment
- Full time
- Category
- AI engineering
- Company size
- 501-1000
- Salary
- USD 200,000 – 400,000
Build real-time localization and mapping systems for humanoid robots using multi-sensor fusion (cameras, IMUs, encoders) and 3D geometry in C++.
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:
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Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors).
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Build and maintain scalable, offline pose-tracking pipelines to process large-scale training data from diverse sources.
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Develop and optimize multi-sensor calibration systems for humanoid robotics and data collection platforms.
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Partner with cross-functional teams to build comprehensive, data-driven evaluation and testing frameworks.
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Design, engineer, and deploy high-quality, reliable software solutions for real-world robotics applications.
Requirements:
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Deep technical expertise in solving complex estimation and nonlinear optimization problems.
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Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM).
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Experience writing performant C++ software.
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Hands-on experience with sensor calibration (e.g., multi-camera and IMU intrinsics/extrinsics).
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Ability to thrive in a fast-paced, ambiguous environment that requires rapid exploration and iteration.
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Passion for advancing humanoid robotics technology.
Bonus Qualifications:
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Experience implementing visual-inertial SLAM systems on legged robotic platforms.
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Background in estimation problems related to human motion capture or AR/VR applications.
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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.