Localization & Mapping Engineer for Humanoid Robotics

Figure; Sacramento (CA); On-site; USD 200,000 - 400,000; Full time

Job summary

Figure in Sunnyvale, CA, is seeking a Localization and Mapping Engineer to advance real-time pose tracking, ego-motion, and multi-sensor fusion for humanoid robots. You will implement real-time estimation and build offline pipelines using cameras, IMUs, and encoders.

You will collaborate with cross-functional teams to deliver robust software for robots in dynamic environments; require strong C++ performance, expertise in 3D geometry and SLAM, and hands-on sensor calibration.

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.

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.

Skills

C++

SLAM

Computer Vision

3D Geometry

Sensor Calibration

State Estimation

Multimodal Sensors

Job description

Figure in Sunnyvale, CA, is seeking a Localization and Mapping Engineer to advance real-time pose tracking, ego-motion, and multi-sensor fusion for humanoid robots. You will implement real-time estimation and build offline pipelines using cameras, IMUs, and encoders.

You will collaborate with cross-functional teams to deliver robust software for robots in dynamic environments; require strong C++ performance, expertise in 3D geometry and SLAM, and hands-on sensor calibration.