Guillermo Marcus is a Research Scientist at NVIDIA in Berlin with over five years of experience accelerating scientific applications on specialized hardware. He brings deep expertise in computer architecture, parallel systems, GPU programming (CUDA/OpenCL), and low-level languages like VHDL, C/C++, and FORTRAN, applied to both system design and high-performance research code. At NVIDIA he contributes to production research and OptiX software, translating algorithmic ideas into optimized implementations for clusters and GPUs. An active open-source contributor, he has helped develop NVlabs' Sionna library—improving OFDM modules, resource grid demapping, and 5G channel-coding examples—bridging ML research needs and robust library design. Colleagues rely on him for pragmatic, performance-first solutions that make advanced communication-system research reproducible and production-ready.
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Role in this project:
ML Engineer
Contributions:20 releases, 6 reviews, 31 commits in 9 months
Contributions summary:Guillermo primarily contributed to the development and maintenance of the Sionna library, specifically focusing on testing and implementation of OFDM (Orthogonal Frequency-Division Multiplexing) modules. The contributions included minor fixes and improvements to existing documentation, test code, and core library components, as well as adapting the framework for new features and releasing new versions. The user's work touched upon resource grid demapping and included additions to the 5G channel coding and basics example notebooks.
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Contributions:1 PR, 4 pushes, 3 branches in 16 days
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