# Helix AI Engineer, Localization and Mapping at Figure

Helix AI Engineer, Localization and Mapping at Figure in San Jose, CA. Full-time, paying $200k–$400k. Posted July 13, 2026.

- Company: Figure
- Location: San Jose, CA
- Job type: Full-time
- Pay: $200k–$400k
- Posted: 2026-07-13
- Apply: https://job-boards.greenhouse.io/figureai/jobs/4696533006
- Source: https://jobmagic.ai/jobs/helix-ai-engineer-localization-and-mapping-figure-45ww9h

## Requirements

- 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.

## Description

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.
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.

**Requirements:**

- 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 $200,000 to $400,000 per year.

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.
