Bas Nijholt
Staff Engineer at IonQ
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolBas Nijholt is a Staff Engineer with a Ph.D. in theoretical quantum mechanics and over a decade of experience building software and simulations for topological quantum computing. He has driven research and engineering at Microsoft and IonQ, creating HPC workflows, Bayesian calibration tools, and massively parallel adaptive parameter sweeps that power experimental quantum hardware design. A prolific open-source maintainer and Python expert, he is the primary author of Adaptive—an adaptive sampling package with 300k+ downloads that has saved researchers millions of compute hours—and contributes broadly across tooling, Home Assistant integrations, and scientific libraries. Bas blends deep mathematical and algorithmic thinking with pragmatic engineering, shipping robust async systems, cluster orchestration, and clear documentation. Based in Redmond, he pairs research-grade rigor with hands-on DevOps and developer experience improvements, from CUDA/OpenMP build fixes to asynchronous device APIs. Colleagues rely on him to turn complex physics problems into elegant, production-ready code.
12 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Applied Physics, Master of Science (MSc), Applied Physics at Delft University of TechnologyVWO (Atheneum), N&G met Wiskunde B1,2, VWO (Atheneum), N&G met Wiskunde B1,2 at Thorbecke Rotterdam
English, Dutch, German, French
Github Skills (60)
context-manager10
conda-forge10
probabilistic-programming10
integrate10
pytest10
python10
apidoc10
scripting10
technical-writing10
enterprise-integration10
enforcement10
application-integration10
flake10
cmake10
integrations10
Programming languages (36)
Github contributions (5)
basnijholt/home-assistant-config
Nov 2019 - Nov 2022
Home Assistant config files, rewritten to use the latest features, 100+ documented automations, automatically generated ToC :house: :robot:
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1961 commits, 14 PRs, 1004 pushes in 3 years
Contributions summary:Bas actively contributed to the Home Assistant configuration by implementing a Python script to perform database analysis, enhancing the functionality, and optimizing its performance. They made a code change to install a third-party JavaScript bundle from the HACS repository and adjusted an AppDaemon application to utilize the new Spotify integration and added functionality. This reflects a focus on integrating the Home Assistant features within the environment.
home-assistanthome-assistant-configyamlappdaemonautomation
basnijholt/adaptive-lighting
Sep 2020 - Jan 2023
Adaptive Lighting custom component for Home Assistant
Role in this project:Back-end Developer
Back-end DeveloperContributions:46 releases, 195 reviews, 387 commits in 2 years 4 months
Contributions summary:Bas primarily focused on implementing and refining the adaptive lighting functionality for Home Assistant. Their work involved adding profile settings and options, modifying existing switch functionality, including adding support for RGB color, and improving control through the use of event listeners. These changes indicate a focus on enhancing the user experience, adding flexibility to light control, and streamlining the integration of the component.
custom-componenthome-assistantadaptive-lightingautomationlights
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