
XR System Calibration Specialist
1 day ago
We are seeking a highly skilled XR Calibration Engineer to join our team. This role is ideal for someone with a passion for innovative technology and a drive to deliver exceptional results.
- Maintain XR Calibration Infrastructure: Ensure that the calibration infrastructure is up-to-date, efficient, and functioning correctly.
- Develop Automation Scripts: Create and optimize automation scripts to calibrate different XR products, improving efficiency, accuracy, and consistency.
- Support Customers: Provide expert support to customers regarding calibration setup, troubleshooting issues, and ensuring successful calibration of their XR devices.
- Collaborate with Teams: Work closely with cross-functional teams, including hardware engineers, software developers, and system engineers, to achieve common goals.
- Continuous Improvement: Stay updated with the latest advancements in XR calibration technologies and continuously improve calibration processes and tools.
- Xr Device Calibration: Expertise in calibrating XR devices to ensure accurate and consistent performance.
- Camera/Imu Calibration: Proficiency in calibrating cameras/IMUs to achieve accurate motion tracking.
- Display Calibration: Experience in calibrating XR devices displays for optimal visual quality and performance.
- Robot Pose Planning: Ability to plan and execute robot poses for various calibration tasks.
- Optical Systems: Good understanding of optical systems such as cameras, time of flight cameras, lidar, etc.
- Automation (Python): Proficiency in developing automation scripts using Python.
- Computer Vision: Good understanding of computer vision techniques and their applications in XR.
- Bachelor's degree in Computer Science or Electrical Engineering and 3+ years of relevant experience.
- Or Master's degree in Computer Science or Electrical Engineering and 2+ years of relevant experience.
The ideal candidate will have strong mathematical and analytical skills, as well as a good understanding of calibration setups and systems, computer vision, and automation.
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