Jules Gransden
System Engineer @Riverlane
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WORK HISTORY
System Engineer @Riverlane
Cambridge, GB
At Riverlane, I assist in developing high-performance low-latency quantum decoding algorithms as part of the R&D team. My work focuses on implementing and optimizing these decoders using parallel hardware architectures, with an emphasis on concurrent programming and memory-efficient design. This supports Riverlane’s mission to build fault-tolerant quantum computers by accelerating the decoding of quantum error correction codes.
EDUCATION
Technische Universität Berlin
Studies Abroad, Renewable energy engineering
McGill University
Bachelor of Engineering - BE, Electrical Engineering
Collège Jean-de-Brébeuf
DEC of Applied Sciences, Science
ABOUT JULES GRANSDEN
I graduated from McGill University with a degree in Electrical Engineering. I have a strong interest in renewable energy and Artificial Intelligence. During my studies, I had the opportunity to study abroad at Technische Universität Berlin, where I gained exposure to the latest technologies driving sustainable energy solutions. Additionally, I completed internships at Mulvey & Banani, Dcbel, and MDA, where I gained experience in firmware, software, and electrical design work. Although my background is in electronic circuits and software, I have recently been delving into software and Machine Learning.
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