Barrett Clark

Senior Director, Robotic Software at Bright Machines

Barrett Clark has extensive work experience in the robotics and automation industry. In 2013, they started working at SoftWear Automation, Inc, where they held the positions of Vice President of Research and Development and later became the Co-CTO. During their time there, they played a crucial role in disrupting the sewn products industry by implementing cutting-edge robotics technology. In 2019, they joined Bright Machines as a Senior Applied Scientist, and over the years, they progressed to the role of Principal Applied Scientist and then Applied Science Manager. In 2022, Barrett joined Greenzie as a Principal Robotics Software Engineer before returning to Bright Machines as the Director of Robotic Software. Barrett's expertise and experience in the field make him a valuable asset to any organization.

Barrett Clark's education history includes a Bachelor of Science (BS) degree in Mechanical Engineering from the University of Notre Dame, which was obtained between the years 2006 and 2010. Following this, Clark pursued a Master of Science (MS) degree in Mechanical Engineering at The Ohio State University from 2010 to 2013. Subsequently, Clark advanced to a higher level of education by completing the Doctor of Philosophy (PhD) program in Mechanical Engineering at The Ohio State University from 2013 to 2018.

Location

Atlanta, United States

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Bright Machines

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Headquartered in San Francisco, Bright Machines is an industry leading technology company that offers an innovative approach to intelligent, software-defined manufacturing. It leverages computer vision, machine learning, 3D simulation, and adaptive robotics to fundamentally change the flexibility, scalability, and economics of production. With more than 500 employees worldwide, Bright Machines operates R&D centers in the U.S. and Israel, with additional field operations in the U.S., Mexico, China, and Poland. In 2019 Bright Machines was named a “Technology Pioneer” by the World Economic Forum and one of “America’s Most Promising Artificial Intelligence Companies” by Forbes.