Bradley Solliday

Software Engineer at Anduril Industries

San Francisco, California, United States
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Summary

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Bradley Solliday is a software engineer blending five years of hands-on autonomy and robotics experience with a strong math and physics foundation from Cornell. He helped build autonomous drones at Skydio and now works on advanced systems at Anduril, bringing production-grade numerical rigor to perception and control software. An active open-source contributor to SymForce, Bradley focuses on numerical stability and efficient code generation for robotics—improving core math functions and edge-case handling. He enjoys code that reveals surprising mathematical behavior when written on paper, and treats engineering as a form of modern “magic” that animates useful systems in the world.
code5 years of coding experience
job4 years of employment as a software developer
bookBachelor's degree, Mathematics, Physics, Bachelor's degree, Mathematics, Physics at Cornell University
bookBrophy College Preparatory
languagesEnglish, Spanish
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Github Skills (7)

numerical-analysis10
python10
linear-algebra10
cprogramming-language9
code-generation9
c-language9
camera-calibration8

Programming languages (1)

C++

Github contributions (5)

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symforce-org/symforce

May 2021 - Jan 2023

Fast symbolic computation, code generation, and nonlinear optimization for robotics
Role in this project:
userBack-end Developer
Contributions:156 reviews, 177 commits, 55 PRs in 1 year 8 months
Contributions summary:Bradley made significant contributions to the SymForce project, focusing on numerical stability and accuracy improvements in core mathematical functions. They addressed numerical instability issues and enhanced the `Rot3.from_rotation_matrix` function by adding tests and implementing corrections for edge cases. Furthermore, the user improved the efficiency and maintainability of code by refactoring classes to auto-generate commonly used methods, such as matrix conversions and methods for camera calibrations. The changes demonstrate a focus on improving the performance and stability of the mathematical code.
code-generationnonlinear-optimizationroboticssymbolic-computationpython
Contributions:91 pushes in 4 years
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