Vladislav Zhurba
System Software Engineer at NVIDIA
San Jose, California, United States
Summary
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Rockstar🎓
Top SchoolVladislav Zhurba is a system software engineer based in San Jose with eight years of experience building low-level, performance-critical systems at NVIDIA and beyond. At NVIDIA he’s a core developer on cuda-python, helped create new CUDA Task Graph APIs, and was an early author of an asynchronous memory suballocator, demonstrating strong expertise in driver-level and runtime interoperability. His background spans embedded and consumer products—SHIELD Android TV bringup, SoC firmware for accessories—and tooling such as diagnostic utilities and unit-test frameworks. Vladislav combines production-grade C/C++ systems work with Python-driven automation and has contributed bug fixes and C++ interoperability improvements to a high-profile open-source CUDA project. Notably, his career reflects a mix of deep systems engineering and pragmatic cross-team collaboration to drive feature completeness and stability.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Computer Science, Computer Science, Bachelor of Computer Science, Computer Science at University of Waterloo
English, Russian
Github Skills (7)
cuda10
c-language10
cprogramming-language10
python10
cython9
api8
apidoc8
Programming languages (4)
Github contributions (5)
NVIDIA/cuda-python
Jul 2021 - Dec 2022
CUDA Python: Performance meets Productivity
Role in this project:
Back-end Developer
Back-end DeveloperContributions:25 releases, 126 reviews, 23 commits in 1 year 5 months
Contributions summary:Vladislav contributed to the `nvidia/cuda-python` repository by adding missing C++ files related to parameter packing and updating the codebase for early access. These updates included bug fixes and documentation improvements, along with rebase and CTK updates. Furthermore, they addressed code renaming and bug fixes related to context creation and C type interoperability.
cudapythongpucudnnlow-level
vzhurba01/cuda-python
Oct 2024 - Apr 2025
CUDA Python Low-level Bindings
Contributions:95 pushes, 32 branches in 5 months
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