Helix AI Engineer, Localization and Mapping

We are looking for passionate and motivated superstars to grow our world-class team. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It's time to build.

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.

Required

Qualifications: - 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 between $200,000 - $400,000 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.