2 months ago
San Jose, CA, USAMid Level
Base Salary
$150k - $300k/yr
Responsibilities
- Design and implement real-time filtering and offline batch optimization state-estimation algorithms in modern C++.
- Own calibration workflows for body dimensions, joint offsets, and sensor-to-body extrinsics.
- Develop sensor-fusion architectures for full-body kinematic pose and floating-base motion estimation.
- Address spatiotemporal calibration, environmental interference, and kinematic constraints on human skeletal models.
- Extract information from deformable tactile sensors and evaluate novel sensing modalities.
- Diagnose hardware limitations and inform future hardware design requirements.
- Build diagnostic tools, validation pipelines, and error-analysis workflows for online and offline algorithms.
Requirements
- 4+ years of experience building multi-sensor fusion and state-estimation solutions for dynamic hardware systems.
- Hands-on expertise with real-time filtering techniques including EKFs and sliding-window estimators, plus offline batch optimization tools such as Factor Graphs, GTSAM, Ceres, and Non-Linear Least Squares.
- Experience designing calibration, zeroing, and alignment workflows for multi-sensor suites and kinematic models.
- Deep knowledge of 3D spatial kinematics, Lie groups including SE(3) and SO(3), forward and inverse kinematics, and constrained optimization.
- Ability to write high-performance modular C++ for embedded or edge platforms and Python for data analysis and visualization.
- Experience with low-latency teleoperation, haptics, or human-in-the-loop control systems is a bonus.
- Background in human biomechanics, skeletal tracking, or body-mounted telemetry systems is a bonus.
- Experience applying machine learning to motion priors, trajectory smoothing, or learned state estimation and calibration is a bonus.
Benefits
- Full-time position requiring five days per week of in-office collaboration in North San Jose, California.
About Figure AI
Figure AI builds general‑purpose autonomous humanoid robots and the AI software that powers them, targeting tasks in industrial, commercial, and eventually residential settings. The privately held company monetizes through robotics hardware and related software/services aimed at enterprises seeking automation. Founded in 2022 and headquartered in San Jose, California, it has announced a partnership with BMW Manufacturing to pilot humanoid robots in automotive production.