Josef Malmström is a Senior Software Engineer with seven years of experience building algorithms and performance-focused tooling for ML and imaging systems, currently working on testing and performance analysis of Arm GPUs and NPUs. He has a strong academic foundation from KTH with exchange experience at Stanford and a track record applying signal and time-series methods to next-generation DNA sequencing and hematology microscopy. Josef has moved between research and industry roles—from decoding nanopore-like signals to driver monitoring systems and computational imaging—bringing a pragmatic, data-driven approach to algorithm tuning and systems performance. He blends low-level optimization experience (memory configuration tooling at Ericsson) with applied ML interests and a clear focus on impactful domains like medicine and automotive safety. Notably, he transitions comfortably between prototyping research algorithms and hardening them for production performance validation.
7 years of coding experience
4 years of employment as a software developer
Single Course Computer Science and Information Systems I, Single Course Computer Science and Information Systems I at Stockholm University
Degree Program in Electrical Engineering (300 hp), Degree Program in Electrical Engineering (300 hp) at KTH Royal Institute of Technology
Secondary school Program of Natural Science, Secondary school Program of Natural Science at Värmdö Gymnasium
Exchange Studies, Exchange Studies at Stanford University
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