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Helix AI Engineer, Localization and Mapping

Figure

San Jose, CA · HybridFull-time$200–400K/yrPosted 2mo agoStill listed 4 days ago

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At a glance

Compensation
$200–400K/yr
Location
San Jose, CAHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Figure is hiring a Helix AI Engineer, Localization and Mapping. Figure seeks a passionate Localization and Mapping Engineer to design and implement real‑time localization, ego‑motion tracking, and state estimation systems for humanoid robots. The role involves building scalable pose‑tracking pipelines, multi‑sensor calibration, and data‑driven testing frameworks while collaborating cross‑functionally in a fast‑paced, ambiguous environment.

Key focus areas include Architect and implement real‑time localization, ego‑motion tracking, and state estimation systems by fusing multi‑modal sensor data, Build and maintain scalable offline pose‑tracking pipelines to process large‑scale training data, and Develop and optimize multi‑sensor calibration systems for humanoid robotics and data collection platforms.

Successful candidates bring 5 Days/week In-office Collaboration. Important skills include Real-time Localization, Ego-motion Tracking, State Estimation Systems, Multi-modal Sensor Data Fusion, Scalable Offline Pose-tracking Pipelines, and Multi-sensor Calibration Systems. Preferred (not required): Estimation Problems Related To Human Motion Capture, Estimation Problems Related To AR/VR Applications, Deep Learning Approaches To SLAM, and Deep Learning Approaches To 3D Reconstruction.

Skills & qualifications

RequiredNice to have

Skills

Real-Time LocalizationEgo-Motion TrackingState Estimation SystemsMulti-Modal Sensor Data FusionScalable Offline Pose-Tracking PipelinesMulti-Sensor Calibration SystemsData-Driven Evaluation and Testing FrameworksHigh-Quality Software SolutionsReliable Software SolutionsComplex Estimation ProblemsNonlinear Optimization Problems3D GeometryVisual-Inertial SLAMComputer Vision TechniquesFeature Matching/TrackingStructure From Motion (SfM)C++Multi-Camera and IMU Intrinsics/ExtrinsicsThrive in Fast-Paced Ambiguous EnvironmentRapid Exploration and IterationPassion for Advancing Humanoid Robotics TechnologyEstimation Problems Related to Human Motion CaptureEstimation Problems Related to AR/VR ApplicationsDeep Learning Approaches to SLAMDeep Learning Approaches to 3D ReconstructionDeep Learning Approaches to Human Pose EstimationData-Driven Evaluation FrameworksTesting FrameworksComplex EstimationFeature MatchingFeature TrackingPerformant C++ SoftwareMulti-Camera Intrinsics/ExtrinsicsIMU Intrinsics/ExtrinsicsRapid ExplorationIterationAdvancing Humanoid Robotics Technology

Qualifications

5 Days/Week in-Office Collaboration

Full job description

Figure is on a mission to develop and deploy general purpose humanoid robots for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are looking for passionate and motivated superstars to grow our world-class team. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It’s time to build.

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.

Required 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.

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 between $200,000 - $400,000

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.

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