Data Collection Engineer

Company: Magic Leap
Company: Magic Leap
Location: Zurich, Switzerland
Posted on: 2023-09-08 04:17
If you want to be part of a united team where everyone is empowered and trusted to make an impact, then Magic Leap could be the place for you. At Magic Leap you will have the freedom to explore innovative solutions and use your talents to solve real world problems. Working alongside industry experts, here you can grow your skills and play a part in amplifying human potential at the intersection of the physical and digital worlds. We know that successful change and progress are accelerated by diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible. Job Description You will aid the Computer Vision teams working on pose tracking, dense mapping, eye tracking, etc. in validating algorithm performance. This work involves using external high precision instruments like Optitrack motion capture systems, robotic arms, LIDAR scanners, and other embedded devices to collect ground truth data for algorithm development and testing. Responsibilities: Data collection with a multitude of custom equipment. Daily activities will include data capture with existing systems and operating motion capture and 3D scanner equipment. You will work closely with rapid prototyping Mechanical and Electrical engineers creating props and tools for system integration. You will collect, verify, and analyze data in high-throughput scenarios from a number of inputs Qualifications: Must have 3+ years of experience collecting multimodal sensor data. Must have 3+ years experience with shell scripting, python, and Linux environment Worked with complex hardware and software and be able to debug common problems Experience with issue management system (i.e. bug reports, JIRA) Demonstrated technical documentation Project management skills : capturing requirements  Education: B.S in Electrical Engineering or Mechatronic Engineering preferred, or equivalent   #LI-Onsite
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