Summary
Axel Jacobsen is a software engineer specializing in robotics with nine years of experience building production-ready systems that bridge software, electronics, and firmware. Currently at Neuralink, he brings hands-on expertise from R&D roles at Chan Zuckerberg Biohub where he designed and deployed neural networks for low-cost diagnostic instruments and dramatically optimized automation platforms. His background includes firmware and test tooling for embedded systems, performance-focused backend work, and leading sensor and motor control efforts for autonomous vehicles. Known for simplifying complex codebases and squeezing performance gains (e.g., massive refactors and speedups on lab robots), he combines analytic Engineering Physics training with practical hardware-in-the-loop development. Based in San Francisco, Axel publishes work and projects on his GitHub site, demonstrating a consistent pattern of shipping measurable, testable improvements across robotics and bioinstrumentation.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science - BASc, Engineering Physics, Bachelor of Applied Science - BASc, Engineering Physics at The University of British Columbia