Tim Bruedigam
Systems Engineer at Zoox
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolTim Bruedigam is a systems engineer focused on robotaxi safety at Zoox with a decade of experience developing advanced driver assistance and highly automated driving functions for premium automakers. He holds a Dr.-Ing. in Electrical and Computer Engineering from TUM, where his PhD research produced predictive control methods that safely handle uncertainty in automated-vehicle motion planning using stochastic, robust, and learning-based approaches. Before Zoox he led ADAS teams at Audi of America, delivering safety-critical features for Audi and Porsche, and spent time as a visiting researcher at UC Berkeley bridging academic rigor with industry deployment. Tim’s background spans hands-on research, project leadership, and teaching, giving him a rare mix of theoretical depth and product-focused engineering. He’s based in the San Francisco Bay Area and maintains a portfolio of work and publications on safe motion planning at www.timbruedigam.com. An interesting facet of his profile is that he transitioned from academic research directly into leading production ADAS teams, accelerating the path from novel control methods to road-ready systems.
10 years of coding experience
8 years of employment as a software developer
Mechanical Engineering, Mechanical Engineering at University of California, BerkeleyElectrical and Computer Engineering, Electrical and Computer Engineering at University of South CarolinaElectrical and Computer Engineering, Electrical and Computer Engineering at The University of EdinburghDr.-Ing. (Ph.D.) Electrical and Computer Engineering, Dr.-Ing. (Ph.D.) Electrical and Computer Engineering at Technical University of MunichCalifornia Institute of Technology
German, English, French
Github Skills (5)
stochastic9
matlab8
nonlinear-optimization8
mpc8
model-predictive-control8
Programming languages (1)
Github contributions (2)
tim283/smpc_example
Jan 2021 - Apr 2021
Short example of MPC and specifically stochastic MPC (SMPC) with chance constraints for Matlab.
Contributions:64 commits, 22 PRs, 51 pushes in 2 months
mpcmatlabnonlinear-optimizationmodel-predictive-controlsmpc
makhaniadnan/RoNaoldo
Dec 2015 - Dec 2015
Contributions:4 pushes in 1 day
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