Jonathan Chen
Senior Software Engineer - Control Systems at Atom Computing
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolJonathan Chen is a Senior Software Engineer specializing in control systems for quantum hardware, with 12 years of experience building the software stack that brings quantum computers to life. He has driven significant performance and operational gains—authors of libraries and calibration frameworks that improved throughput and job turnaround by multiples at Quantum Circuits and now leading control-system engineering at Atom Computing. His work spans firmware to cloud: low-latency hardware interfaces, large-scale device simulation optimizations, and user-facing GUIs that transformed adoption inside organizations. A PhD in Chemical Physics from UIUC and a background in experimental instrumentation give him uncommon fluency at the intersection of physics and production software. He’s an active contributor to the Julia language documentation, emphasizing clarity in scientific tooling. Colleagues rely on him for hands-on tuning of delicate systems overnight as readily as for architecting scalable, customer-facing stacks.
12 years of coding experience
18 years of employment as a software developer
California Institute of TechnologyDoctor of Philosophy - PhD Chemical Physics, Doctor of Philosophy - PhD Chemical Physics at University of Illinois Urbana-Champaign
Chinese, English
Github Skills (4)
programming-language10
julia10
documentation10
technical-writing10
Programming languages (6)
Github contributions (5)
JuliaLang/julia
Apr 2015 - Apr 2015
The Julia Programming Language
Role in this project:
Technical Writer
Technical WriterContributions:6 commits, 10 PRs, 8 comments in 8 days
Contributions summary:Jonathan's contributions primarily involve documentation updates for the Julia programming language. They have made several revisions to the manual, including corrections for typos, adjustments to code examples, and updates to line counts and documentation organization. These changes indicate a focus on improving the clarity, accuracy, and completeness of the Julia documentation.
sciencejulia-languagemachine-learningjulialangpetsc
ypeels/stanford_dl_ex
Jan 2015 - Feb 2015
Contributions:133 commits, 41 pushes, 3 branches in 24 days
pytorchstanforddeep-learningunsupervisedmachine-learning
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