Lab Operations Engineer

Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

The AI Institute is building an environment that fosters the kind of blue-sky thinking found in academic labs and quickly drives it to practice through development discipline and resources more common to top-tier industry teams.

The Lab Operations Engineer will work cross-functionally with engineering and research teams to build, operate, maintain, and test advanced robotic systems.  If you have a passion for developing technology for robots and advancing their capabilities and usefulness, you will want to join us!

Responsibilities
  • Design, assemble, test, and operate systems that integrate robots, cameras, sensors, GPUs, and control hardware.
  • Implement procedures, equipment, and training necessary to ensure users safely operate robot systems.
  • Troubleshoot, repair and maintain a varied fleet of robots and autonomous systems.
  • Design, implement, and support test fixtures and assets for robot testing.
  • Requirements
  • BS in electrical/mechanical engineering or related field, or a degree in electro-mechanical/robotic/software design from an accredited technical institute or its equivalent with 5+ years of related experience.
  • 3+ years of experience assembling, running, or maintaining robotic systems or scientific equipment.
  • Strong problem-solving and troubleshooting skills.
  • General knowledge of electronic and computer equipment, software, and testing methods.
  • The successful candidate will be well-organized, self-driven, creative, detail-oriented, and able to prioritize multiple task requests.
  • This position requires strong interpersonal skills and the ability to work as part of a team in a fast-paced and growing environment.

  • Bonus
  • Machine design experience.
  • Mechatronics and power electronics experience.
  • Experience with motion control systems.
  • Background in experiment design.
  • Familiarity with safety equipment, including safety harnesses and hoists.
  • Experience with Linux, C/C++, ROS(2), and Python.

  • These attributes are great to have but not required for our candidates. Candidates who lack these should not be discouraged from applying.
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