Robotics AI Engineer, Sensor Calibration
Field AI · Irvine, CA
Roboticsonsitemid-level
At a glance
Highlights
- Advance sensor calibration systems powering autonomous robots globally.
- Build intrinsic, extrinsic and temporal calibration for real-world perception.
- Enable reliable autonomy in unstructured, previously unknown environments.
Ideal candidate
A hands-on robotics engineer who loves real-world perception and building reliable systems for field robots, combining strong geometry intuition with practical, collaborative problem-solving.
Requirements
- Master's degree in Computer Science, Engineering, or a related field
- 2+ years of work experience as a robotics software engineer with expertise in robotics, computer vision and sensor calibration
- Proficiency in C++ and Python with ability to write maintainable and efficient code
- Solid background in 3D geometry and computer vision
- Solid understanding of sensor calibration techniques including camera intrinsic and LiDAR-camera calibration
- Hands-on experience with sensor data processing tools such as PCL, Open3D, OpenCV, Kalibr
- Familiarity with ROS and software development in Ubuntu
- Familiarity with backend optimization tools such as Ceres, GTSAM, g2o
Lab profile
About Field AI
Builds risk-aware embodied AI for autonomous robots in construction, mining, security, and manufacturing.
What they build
- Field-ready embodied AI autonomy stack
- Autonomous robots for harsh environments
- Reality capture and construction monitoring
Known for
- Risk-aware, reliable field-ready AI systems
- Real robots, sensors, and field deployments
- Global operations in harsh environments
- Pragmatic approach beyond off-the-shelf methods
Key facts
- Based in Irvine, California
- R&D team in Boston, Massachusetts
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