About this role
Who you are:
- Calibration specialist deeply versed in 3D geometry, spatial transformations, state estimation, non-linear optimization, and sensor error modeling.
- Hands-on engineer who excels at mathematical model formulation, algorithmic solver design, and numerical optimization.
- Driven to translate complex calibration formulations into automated software routines and online self-correcting algorithms.
- A strong collaborator across computer vision, SLAM, state estimation, control, and production quality teams.
Responsibilities:
- Design and implement intrinsic and extrinsic calibration algorithms for multi-camera systems, LiDAR, IMU, joint encoders, and force/torque sensors.
- Develop joint spatial-temporal calibration pipelines to accurately estimate inter-sensor rotation/translation matrices and temporal offsets.
- Architect automated calibration software pipelines and trajectory generation algorithms to support scalable sensor calibration workflows.
- Implement online self-calibration and drift-tracking algorithms to maintain cross-sensor spatial alignment during continuous dynamic motion.
- Integrate kinematic-visual-inertial calibration algorithms to model structural compliance, thermal expansion, and gravity deflection.
- Deliver calibrated transformations (TF trees, extrinsic matrices, distortion parameters) directly into perception, localization, and control stacks.
- Conduct residual error sensitivity analysis, repeatability validation, and environmental robustness testing across thermal cycles and dynamic vibration.
Requirements:
- B.Sc. or M.Sc. in Computer Science, Robotics, or related technical disciplines.
- 3+ years of hands-on experience in multi-sensor calibration, computer vision geometry, spatial optimization, or SLAM/state estimation.
- Solid mathematical foundation in 3D rigid-body transformations, Lie algebra (SE(3), SO(3)), non-linear optimization (Ceres, g2o), and Kalman filtering.
- Proficient in Modern C++ and Python, with experience utilizing OpenCV, PCL, and ROS 2 coordinate transformation tools (TF2).
- Practical experience in camera intrinsic/extrinsic calibration, camera-LiDAR calibration, and camera-IMU spatiotemporal calibration (e.g., Kalibr).
- Experience developing automated calibration software workflows and verification tools.
- Strong analytical problem-solving skills and rigorous data-driven evaluation methodologies.
Advantages:
- Direct experience in humanoid or quadruped kinematic-visual-inertial self-calibration routines.
- Knowledge of thermal error modeling for IMU gyroscopes/accelerometers and optical sensor distortion.
- Comfortable communicating technical topics in English with international teams.