Brian Cera
Software Engineer at Waymo
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolBrian Cera is a software engineer and recent PhD in Controls from UC Berkeley with roughly a decade of experience building AI-driven perception, state estimation, and control systems for robotics. He blends academic rigor in data-driven optimal control, reinforcement learning, and high-dimensional nonlinear dynamics with hands-on product development—having co-founded Squishy Robotics to develop air-droppable sensing robots and lead customer-driven hardware/software design through Seed fundraising and accelerator programs. At Waymo he applies those skills to production-scale autonomy, and his doctoral work included NASA collaborations and realistic lunar mission simulations using C++ physics engines. Comfortable across machine learning, optimization, and embedded controls, he also brings experience in grant writing, customer discovery, and mentoring students. Notably, his research on tensegrity soft robots demonstrates a rare focus on controlling flexible, uncertain systems that bridge robotics research and real-world disaster-response applications.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at University of California, BerkeleyBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Rice University
Github Skills (9)
mujoco10
simulator10
physics9
robotics9
simulation9
dropout4
reinforcement-learning1
deep-reinforcement-learning1
deep-learning1
Programming languages (2)
Github contributions (5)
brianmcera/Tensegrity-Dynamics-and-Optimal-Control
Oct 2019 - Aug 2020
Contributions:52 commits, 46 pushes, 1 branch in 10 months
brianmcera/DRL_ObservationalDropout
Jan 2020 - Apr 2020
4-week Insight AI Project investigating Deep Reinforcement Learning with Observational Dropout
Contributions:10 PRs, 91 pushes, 13 branches in 3 months
insight-aideep-learningreinforcement-learningdeep-reinforcement-learningdropout
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