Localization & Mapping Engineer for Humanoid Robots

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

Job summary

Figure is seeking a Localization and Mapping Engineer to advance autonomous humanoid robotics. Based in Sunnyvale, CA, you will architect real-time localization, ego-motion tracking, and state estimation from cameras, IMUs, encoders, and magnetic sensors.

You will build scalable offline pose-tracking pipelines, calibrate multi-sensor systems, and work with cross-functional teams to deliver robust software for real-world robotics applications.

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.

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

Real-time localization

3D geometry

Visual-inertial SLAM

C++ programming

Sensor calibration

Fast-paced environment

Tools

C++

Job description

Figure is seeking a Localization and Mapping Engineer to advance autonomous humanoid robotics. Based in Sunnyvale, CA, you will architect real-time localization, ego-motion tracking, and state estimation from cameras, IMUs, encoders, and magnetic sensors.

You will build scalable offline pose-tracking pipelines, calibrate multi-sensor systems, and work with cross-functional teams to deliver robust software for real-world robotics applications.