<div class="content-intro"><p class="p1">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.</p></div><p>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.</p> <p><strong>Responsibilities:</strong></p> <ul> <li> <p>Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors).</p> </li> <li> <p>Build and maintain scalable, offline pose-tracking pipelines to process large-scale training data from diverse sources.</p> </li> <li> <p>Develop and optimize multi-sensor calibration systems for humanoid robotics and data collection platforms.</p> </li> <li> <p>Partner with cross-functional teams to build comprehensive, data-driven evaluation and testing frameworks.</p> </li> <li> <p>Design, engineer, and deploy high-quality, reliable software solutions for real-world robotics applications.</p> </li> </ul> <p><strong>Requirements:</strong></p> <ul> <li> <p>Deep technical expertise in solving complex estimation and nonlinear optimization problems.</p> </li> <li> <p>Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM).</p> </li> <li> <p>Experience writing performant C++ software.</p> </li> <li> <p>Hands-on experience with sensor calibration (e.g., multi-camera and IMU intrinsics/extrinsics).</p> </li> <li> <p>Ability to thrive in a fast-paced, ambiguous environment that requires rapid exploration and iteration.</p> </li> <li> <p>Passion for advancing humanoid robotics technology.</p> </li> </ul> <p><strong>Bonus Qualifications:</strong></p> <ul> <li> <p>Experience implementing visual-inertial SLAM systems on legged robotic platforms.</p> </li> <li> <p>Background in estimation problems related to human motion capture or AR/VR applications.</p> </li> <li> <p>Experience applying state-of-the-art Deep Learning approaches to SLAM, 3D reconstruction, or human pose estimation.</p> </li> </ul> <p>The US base salary range for this full-time position is $200,000 to $400,000 per year.</p> <p>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.</p>