# Jonathan Shoemaker

![Jonathan Shoemaker](/resources/cognition/portraits/jonathan-shoemaker.webp)

![Jonathan Shoemaker 2](/resources/cognition/portraits/jonathan-shoemaker.webp)

Member of Technical Staff at Cognition; Codeforces Grandmaster, USACO finalist, MIT Physics & CS, Stanford Physics PhD (SLAC)  
Cognition  
Austin, Texas, United States

## At Cognition

- Role: Member of Technical Staff (Engineering)
- Joined: Jul 2026
- How they joined: Directly
- Before Cognition: Software and Data Science Intern, Emerald Innovations
- Overlapped before Cognition with other Cognition people at: MIT (https://www.autumn.ai/resources/cognition/worked-together)

## Identity
- LinkedIn: https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5
- GitHub: https://github.com/Jonathan-Shoemaker
- Domain: cognition.ai

## Notes
- Joined Cognition (maker of Devin and, since the July 2025 acquisition, Windsurf) as a Member of Technical Staff in July 2026, listed in San Francisco; because he started a year after the Windsurf deal, he arrived as a direct hire rather than through the acquired Codeium/Windsurf team. (https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5)
- Co-authored 'Differentiable Vertex Fitting for Jet Flavour Tagging' (arXiv:2310.12804, Oct 2023) with Rachel E. C. Smith, Ines Ochoa, Ruben Inacio and Michael Kagan, affiliated with SLAC National Accelerator Laboratory. (https://arxiv.org/pdf/2310.12804)
- Codeforces handle shoemakerjo reached Grandmaster with a max rating of 2447, representing USACO from Austin; he registered in June 2016 and was last online in December 2022. (https://codeforces.com/profile/shoemakerjo)
- Contributed to fastmachinelearning/hls4ml (ML on FPGAs) with PR #635 on Aug 10, 2022, fixing conv1d io_stream HLS directives: a loop given the unroll directive 'should have been pipelined'; it shipped in the hls4ml 'delphinium' release. (https://github.com/fastmachinelearning/hls4ml/pull/635)
- Tied for 1st with a perfect score in the USACO January 2019 Platinum division, sharing first place with Eric Zhang. (https://alphastar.academy/usaco-january-contest-results/)
- AlphaStar Academy's instructor bio lists him as a USACO Finalist (2017, 2018), USAJMO qualifier (2016, 2017), AIME qualifier (2014-2018), Google Code Jam Round 3 qualifier (2018), HP CodeWars 1st (2017) and 2nd (2018), and UCF Online Programming Contest 1st (2017), and he taught at AlphaStar's CS summer camp. (https://alphastar.academy/cs-summer-camp/)
- Public headline says "CS & Physics". (https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5)
- The same SLAC/LIP Lisbon collaboration (Smith, Ochoa, Inacio, Shoemaker, Kagan) also produced a differentiable approach to muon tracking at the LHC published in Phys. Rev. D, with Shoemaker listed under SLAC. (https://inspirehep.net/literature/3088054)
- Earned a Bachelor's in Physics and Computer Science at MIT (2019-2023). (https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5)
- Was a Software and Data Science Intern at Emerald Innovations in Cambridge, MA (Jun-Aug 2021). (https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5)
- Previous roles include Software and Data Science Intern at Emerald Innovations; Quantum Computing Developer at IBM. (https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5)
- Education history includes Bachelor's degree, Physics and Computer Science, Massachusetts Institute of Technology; Doctor of Philosophy - PhD, Physics, Stanford University. (https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5)
- Location is Austin, Texas, United States. (https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5)

## Experience
- Member of Technical Staff at Cognition - San Francisco, CA (Jul 2026 - Present)
- Software and Data Science Intern at Emerald Innovations - Cambridge, Massachusetts, United States (Jun 2021 - Aug 2021)
- Quantum Computing Developer at IBM - Yorktown Heights, New York, United States (Jun 2020 - Aug 2020): Worked on IBM Quantum’s cloud-based quantum computing tool, Qiskit. Developed Algorithms for compiling and synthesizing Quantum Circuits

## Education
- Massachusetts Institute of Technology - Bachelor's degree, Physics and Computer Science - (Jan 2019 - Jan 2023)
- Stanford University - Doctor of Philosophy - PhD, Physics - (Sep 2023): Stanford Graduate Fellow

## Sources
- https://www.linkedin.com/in/jonathan-shoemaker-58a1921b5
- https://codeforces.com/api/user.info?handles=shoemakerjo
- https://usaco.org/index.php?page=finalists19
- https://open.kattis.com/contests/gzsaqr/teams/80335
- https://github.com/fastmachinelearning/hls4ml/discussions/767
- https://utipc19.kattis.com/contests/utipc19/teams/131891
- https://alphastar.academy/usaco-january-contest-results/
- https://api.github.com/users/Jonathan-Shoemaker
- https://github.com/fastmachinelearning/hls4ml/pull/635
- https://alphastar.academy/cs-summer-camp/
- https://api.github.com/users/Jonathan-Shoemaker/repos?per_page=100
- https://arxiv.org/pdf/2310.12804
- https://github.com/Qiskit/qiskit/blob/main/.mailmap
- https://vthspc.cs.vt.edu/pastContests/2018/
- https://inspirehep.net/literature/3088054
- https://codeforces.com/profile/shoemakerjo
- https://naq25.kattis.com/contests/naq25/teams/843849
- https://github.com/Jonathan-Shoemaker/deep_clean_fpga


Researched with Autumn (https://www.autumn.ai) from public sources. Updated 2026-11-04. Profile: https://www.autumn.ai/resources/cognition/people/jonathan-shoemaker · Everyone at Cognition: https://www.autumn.ai/resources/cognition/people