Jay Gambetta
Director Of IBM Research And IBM Fellow
Town of Yorktown, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJay Gambetta is a leading quantum information scientist and engineering leader with nearly two decades of academic and industry experience, currently serving as Director of IBM Research and an IBM Fellow. He has driven IBM’s quantum strategy from hands-on research and postdoctoral work through senior management and VP roles, helping translate quantum theory into practical SDKs and experiments. Jay is an active contributor to the widely used Qiskit ecosystem—improving tutorials, documentation, examples, and test infrastructure—which reflects his focus on making complex quantum concepts accessible to developers. His background blends deep physics training (PhD, Griffith University) with pragmatic engineering: he routinely refactors code, tightens tests, and enhances educational materials to improve reproducibility. Based in Yorktown, NY, he balances high-level strategy with detailed technical edits, a pattern that has helped mature IBM’s quantum tooling and community.
9 years of coding experience
12 years of employment as a software developer
PhD Physics, PhD Physics at Griffith University
Github Skills (14)
markdown10
quantum-computing10
rs10
develop10
markdown-it10
restructuredtext10
qiskit10
python10
documentation10
test-automation10
testing9
sphinx9
jupyter-notebook9
unit-testing9
Programming languages (11)
Github contributions (5)
Qiskit/qiskit-metapackage
Dec 2018 - Jul 2021
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Role in this project:
Technical Writer
Technical WriterContributions:5 reviews, 149 commits, 201 PRs in 2 years 7 months
Contributions summary:Jay primarily contributed to the documentation of the Qiskit metapackage. Their commits focused on updating installation guides, overviews, release notes, contributing guidelines, and API documentation. They also added documentation on the elements of Qiskit, the community extensions, and getting started guides to improve user experience.
qiskitsource-sdkquantum-computingquantum-programming-language
Qiskit/qiskit-tutorials
Aug 2017 - Apr 2021
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Role in this project:Technical Writer
Technical WriterContributions:3 releases, 257 commits, 422 PRs in 3 years 8 months
Contributions summary:Jay's commits primarily involved making small edits to Jupyter notebooks and the README file. These changes indicate a focus on improving the clarity and organization of existing documentation. The revisions included corrections to spelling, grammar, and formatting to improve the overall readability and flow of the tutorials.
jupyter-notebookqiskitquantum-computingquantum-programming-language
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.