Sensor Calibration Engineer

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.