Ulf Hanebutte
Distinguished Engineer AI ML Architecture at Marvell Technology
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolUlf Hanebutte is a Distinguished Engineer specializing in AI/ML architecture and HW/SW co-design with over two decades of experience shaping ML inference accelerators and their software stacks. He has led performance- and architecture-focused work across industry and national labs, from exascale HPC system projections and PGAS application pathfinding to IoT deployments for energy-efficient buildings. At Marvell he progressed through senior architect roles to lead AI/ML architecture efforts, drawing on deep expertise in co-design developed at Intel and national labs. He holds a Ph.D. from Northwestern and a Diplom-Ing. in Aerospace Engineering from the University of Stuttgart, combining rigorous academic foundations with practical system delivery. An underappreciated strength is his track record of translating novel research—parallel algorithms, adaptive mesh refinement and power-management techniques—into production technologies and patents. Based in Seattle, he thrives on collaborative problem-solving at the intersection of hardware, firmware and system software.
10 years of coding experience
29 years of employment as a software developer
Ph.D. Mechanical Engineering, Ph.D. Mechanical Engineering at Northwestern UniversityDiplom Ing. Aero Space Engineering, Diplom Ing. Aero Space Engineering at University of Stuttgart
English, German
Github Skills (37)
pytorch10
ai-framework10
machine-learning10
onnx10
hardware-acceleration10
keras10
scikit-learn10
high-performance10
cross-platform9
accelerator9
tensorflow9
integer9
deep-learning9
thai9
libphonenumber8
Programming languages (3)
Github contributions (5)
ulfhanebutte/ISx
Dec 2015 - Jul 2016
Contributions:2 PRs, 13 pushes, 2 branches in 6 months
scalablefunctional-programmingintegerexascaleera
MarvellEmbeddedProcessors/onnx-insight
Jun 2023 - Jun 2023
Python tool for ONNX model analysis
Contributions:3 releases, 4 PRs, 10 pushes in 11 days
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