Thomas Kühbeck

Staff Systems Engineer at Woven Planet Holdings

Thomas Kühbeck has an extensive background in the automotive industry, specifically in the development of autonomous driving technologies. Thomas is currently working as a Staff Systems Engineer at Woven by Toyota, where they are responsible for building Toyota's in-vehicle platform for future vehicles. This includes designing the software defined vehicles and the necessary ecosystem, from in-vehicle platform design to cloud infrastructure.

Prior to their current role, Thomas worked as a Staff Software Engineer at the Toyota Research Institute, where they focused on building data pipelines for data-driven autonomy. Thomas designed the complete pipeline for recording, ingesting, managing, and abstracting data for autonomous driving. This also involved developing machine learning infrastructure to enable data-driven verification and validation of driving functions.

In addition to their industry experience, Thomas has also served as a Lecturer at Stanford University, where they likely taught courses related to their expertise in autonomous driving technologies.

Earlier in their career, Thomas held various positions at BMW, including Technical Project Lead for Evaluation of Highly Automated Driving, Research Engineer for Highly Automated Driving, and PhD Student for Active Safety Systems. Thomas started their career at BMW with internships in 2007 and 2008.

Overall, Thomas Kühbeck has a strong background in developing autonomous driving technologies and has gained significant experience in both technical and leadership roles within the automotive industry.

Thomas Kühbeck completed their education in a chronological manner, starting with their studies at the Ostbayerische Technische Hochschule Regensburg. From 2004 to 2010, they pursued a Diplom degree in Informatik. Following this, they enrolled at Staffordshire University in 2009 and completed their Bachelor of Science (Hons) in Computing Science in 2010. Continuing their academic journey, they pursued a Doctor of Philosophy (PhD) in Computing Science at Staffordshire University, which they successfully completed in 2017.

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Timeline

  • Staff Systems Engineer

    May, 2022 - present