Thomas Gurriet

Principal Applied Scientist at Amazon Fulfillment Technologies & Robotics

Pasadena, California, United States
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Summary

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Thomas Gurriet is a Principal Applied Scientist with eight years of hands-on experience building safe, trustworthy robotics and cyber-physical systems, currently leading efforts in robotics AI at Amazon Fulfillment Technologies & Robotics. He brings a rare blend of deep academic training—a Caltech PhD in applied safety-critical control—and practical product leadership from roles as CTO of a robotics startup and engineering positions at Yamaha and Wandercraft. His work spans model-based control, dynamic stabilization for exoskeletons, open-water navigation, and geo-fencing for UAVs, showing strength across perception-to-control stacks. Based in Pasadena, he pairs research-grade rigor with production-focused delivery, routinely translating safety-critical theory into deployable systems. Colleagues describe him as someone who deliberately bridges long-horizon academic insight with the pragmatic constraints of large-scale robotics deployments.
code9 years of coding experience
job6 years of employment as a software developer
bookMaster’s Degree, Mechanical Engineering, Master’s Degree, Mechanical Engineering at Georgia Institute of Technology
bookCalifornia Institute of Technology
bookMaster's degree in Engineering, Mechanical and industrial engineering, Master's degree in Engineering, Mechanical and industrial engineering at Arts et Métiers - École Nationale Supérieure d'Arts et Métiers
languagesEnglish, French, Spanish
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Github Skills (37)

cpp10
conan9
cmake9
toolchain9
eigen9
triangle9
delaunay8
lidar8
lidar-data8
hardware8
robotics8
cpp-library8
llvm8
package-management8
sdk7

Programming languages (6)

C++ShellLLVMCMakeMATLABPython

Github contributions (5)

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yamaha-bps/cbr_utils

Jun 2021 - Apr 2022

C++ utility headers
Contributions:8 commits, 8 PRs, 56 pushes in 9 months
cpp
yamaha-bps/cbr_math

Jun 2021 - Feb 2025

Contributions:1 review, 3 PRs, 4 pushes in 3 years 8 months
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