Senior Localization & Mapping Engineer - Humanoid Robotics

Neura Market; San Jose (CA); On-site; USD 200,000 - 400,000; Full time

Job summary

Figure, headquartered in Sunnyvale, CA, is building autonomous humanoid robotics for real-world corporate tasks. We seek Localization and Mapping Engineers to advance real-time localization, ego-motion tracking, and state estimation across multi-sensor data, with a focus on robust pose-tracking pipelines and calibration systems.

Applicants should be proficient in C++, vision and SLAM techniques, and thrive in fast-paced environments.

Qualifications

• Deep technical expertise in solving estimation and nonlinear optimization problems.
• Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques.
• 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.

Job description

Figure, headquartered in Sunnyvale, CA, is building autonomous humanoid robotics for real-world corporate tasks. We seek Localization and Mapping Engineers to advance real-time localization, ego-motion tracking, and state estimation across multi-sensor data, with a focus on robust pose-tracking pipelines and calibration systems.

Applicants should be proficient in C++, vision and SLAM techniques, and thrive in fast-paced environments.