Builders & open source
Piotr Bialecki
Manages the PyTorch team at NVIDIA (joined the team in 2019), NVIDIA
- Manages the PyTorch team at NVIDIA (joined the team in 2019), NVIDIA14
- Core Maintainer, PyTorch (open-source project)21
Piotr Bialecki joined the PyTorch team at NVIDIA in 2019 and, according to PyTorch's April 2025 release Q&A page, manages that team and drives NVIDIA's work maintaining and advancing PyTorch's CUDA backend. PyTorch's maintainers page lists Bialecki as a core maintainer and as a maintainer of PyTorch's CUDA support. The same Q&A page notes that Bialecki received the PyTorch SUPERHERO award in 2023 for community contributions, especially on the PyTorch discussion board. Bialecki was also a panelist for the PyTorch 2.13 release Q&A in July 2026.123
At a glance
- Current roles
- Manages the PyTorch team at NVIDIA (joined the team in 2019) +1 more
- Sector
- Company
- Work listed
- 1
- Honors
- 1
- Sources cited
- 5
- Profile reviewed
Open-source work
Piotr Bialecki joined the PyTorch team at NVIDIA in 2019 and, according to PyTorch's April 2025 event page, manages that team and drives NVIDIA's work on maintaining and advancing PyTorch's CUDA backend. PyTorch's governance documentation lists Bialecki, who publishes on GitHub as ptrblck, among the project's core maintainers and among the maintainers of its CUDA support.124
PyTorch's event pages note Bialecki's contributions to the PyTorch community, especially answers on the PyTorch discussion board, which earned a PyTorch SUPERHERO award in 2023. Bialecki has also taken part in release question-and-answer sessions, including those for PyTorch 2.7 in April 2025 and PyTorch 2.13 in July 2026.13
Work and contributions
PyTorch (CUDA backend) Open-source code
Listed as a PyTorch core maintainer and a CUDA maintainer; PyTorch's event page describes Bialecki as driving NVIDIA's effort in maintaining and advancing PyTorch's CUDA backend. The repository is under a BSD-style license.215
Timeline
Honors and recognition
- PyTorch SUPERHERO award · PyTorch, 20231
Where they work
Related people
- Ian BuckAlso at NVIDIA
- Natalia GimelsheinAlso at NVIDIA
- Song HanAlso at NVIDIA
- Jeff BolzAlso at NVIDIA
- Jonathan CohenAlso at NVIDIA
- Jeff JohnsonChips and hardware · ML frameworks and libraries
- Johannes GäßlerChips and hardware · ML frameworks and libraries
- Gavin UbertiChips and hardware · ML frameworks and libraries
- George HotzML frameworks and libraries · Chips and hardware
- Nikita ShulgaML frameworks and libraries · Chips and hardware
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References
5 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026