Tal Zaitsev

Senior Software Engineer at Skydio

San Francisco, California, United States
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Summary

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Senior
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Top School
Tal Zaitsev is a Senior Software Engineer based in San Francisco with a decade of cross-disciplinary experience building firmware, embedded systems, and production software for robotics and automotive applications. He combines deep proficiency in C/C++/Python/C#/Java with hands-on hardware skills—PCB design in Altium/EAGLE/Cadence and SMD assembly down to 0402—making him equally comfortable at the silicon and system levels. Tal’s firmware work spans ARM microcontrollers and real-time control systems, from quadcopter flight controllers to automotive data acquisition, and he has contributed to the well-known PX4 autopilot project by enhancing offboard control and resource-aware logging. At Tesla and Skydio he shipped safety- and performance-critical software, bringing a pragmatic trial-and-error approach that values efficiency and real-world impact. Known for learning new languages and tools rapidly, he thrives on projects that sit at the intersection of hardware and software and prefers code that actually moves things in the world.
code10 years of coding experience
job9 years of employment as a software developer
bookToronto Metropolitan University
languagesEnglish, Russian
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Github Skills (9)

embedded10
c-language10
px410
cprogramming-language10
autopilot10
sys10
logging9
drones8
mavlink8

Programming languages (6)

TypeScriptC++CSSCTeXJavaScript

Github contributions (5)

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PX4/PX4-Autopilot

Nov 2019 - Jan 2020

PX4 Autopilot Software
Role in this project:
userEmbedded Systems Engineer / IoT Developer
Contributions:6 commits, 5 PRs, 8 comments in 1 month
Contributions summary:Tal made several contributions related to the PX4 autopilot software. The commits focused on modifying RC override functionality to encompass offboard mode control and fixing a regression issue. Furthermore, the user implemented and refactored a feature to allow logging only when a battery is connected, enhancing the system's resource management. These changes directly involved core autopilot logic and system behavior.
multicopteravoidancedroneuasraspberry-pi
tzai/rf-15-wheel

Oct 2018 - Jun 2019

Contributions:7 commits, 6 pushes, 1 branch in 8 months
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