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Michael Hofmann
Senior Director, Engineering at Qualcomm
Michael Hofmann is a Senior Director of Engineering at Qualcomm with extensive experience in computer vision, machine learning, and software engineering.12 He holds a PhD in computer science from the University of Amsterdam and has over 14 years of industry experience.2
Career Highlights
- Currently working as Senior Director of Engineering at Qualcomm since August 20201
- Previously held positions at TomTom (Senior Manager Software Engineering) and Blippar (Head of Computer Vision R&D)1
- Led multiple teams in research and development, with a focus on HD map making for automated vehicles and computer vision technologies1
Expertise
- In-depth knowledge of machine learning, particularly deep learning, and computer vision12
- Excellent software engineering skills, specializing in modern C++ and Python1
- Experience in leading and managing research and engineering teams, having hired over 40 people2
Notable Contributions
- Author and maintainer of Selene, a C++17 image representation, processing, and I/O library12
- Involved in the Qualcomm Innovation Fellowship program, mentoring PhD scholars in AI and cybersecurity4
- Instrumental in setting up the ATLAS Lab research collaboration with the University of Amsterdam1
Michael Hofmann is actively involved in Qualcomm's research initiatives and continues to contribute to advancements in AI and machine learning technologies.34
Highlights
We are looking for a Principal Machine Learning Researcher to join our fantastic Qualcomm AI Research team in Amsterdam, NL!
You will conduct innovative research at the forefront of ML, in areas including generative AI, neural network efficiency, or on-device learning and personalization. You help shape our research vision and strategy, publish scientific papers, guide and mentor more junior researchers, and translate new research ideas into innovative solutions and business impact.
You bring strong expertise in ML and AI, a proven track record of scientific leadership, and a clear drive to continuously improve beyond the status quo. Ideally, you have proven experience in technology and team leadership.
Interested? Check here for more details and to apply: https://lnkd.in/ecrk2pbi
Our latest work on improving structured semantic segmentation: Gambling Adversarial Networks. https://lnkd.in/gQvNAd9
Another great collaboration between TomTom and University of Amsterdam! Work by Laurens Samson, in collaboration with Nanne van Noord, Olaf Booij, Efstratios Gavves, and Mohsen Ghafoorian.
