Staff Autopilot Machine Learning Engineer at Tesla
San Jose, California, United States
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Summary
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Senior
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Top School
Huck Febbo is a staff Autopilot Machine Learning and Vehicle Motion Controls engineer at Tesla with 11 years of experience bridging mechanical design, dynamics, controls, and autonomous vehicle systems. He holds advanced study in mechanical engineering and a BS from the University of Florida, and his career spans research internships at Honda Research Institute and technical roles at Sandia and Lockheed Martin. Huck combines hands-on systems engineering with open-source contributions—having fixed critical backend issues in the widely used JuliaPlots Plots.jl library—demonstrating attention to cross-platform stability and dependency interactions. He is passionate about pushing autonomous mechanical systems into hazardous-work applications like roofing and mining while minimizing environmental impact. Based in San Jose, he blends deep dynamics and control expertise with practical software and tooling improvements that improve real-world autonomy performance.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Mechanical Engineering, Doctor of Philosophy (PhD) Mechanical Engineering at University of Michigan - Rackham Graduate School
Associate of Arts (A.A.) Aerospace Aeronautical and Astronautical Engineering, Associate of Arts (A.A.) Aerospace Aeronautical and Astronautical Engineering at Broward College
Bachelor of Science (BS) Mechanical Engineering, Bachelor of Science (BS) Mechanical Engineering at University of Florida
Powerful convenience for Julia visualizations and data analysis
Role in this project:
Back-end Developer
Contributions:7 commits, 13 PRs, 26 comments in 9 months
Contributions summary:Huck primarily focused on resolving issues related to the PyPlot backend within the Plots.jl library. Their contributions involved fixing a segmentation fault on Ubuntu, specifically addressing a compatibility problem with Conda and the Qt version. The user also made adjustments to the warning messages and legend positioning within the PGFPlots backend. The changes demonstrate the user's focus on improving the stability and usability of the plotting library, and also shows an understanding of system dependencies.
Contributions:9 releases, 62 pushes, 2 branches in 1 year 7 months
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Huck Febbo - Staff Autopilot Machine Learning Engineer at Tesla