Tadej Murovič
@tadejmurovi
Applied-research professional with deep semiconductor expertise and leadership skills.
What I'm looking for
I am an applied-research professional with over 10 years of experience in the semiconductor industry, specializing in delivering innovative IP and algorithms for automotive and custom-compute SoCs. My journey has been marked by a blend of technical expertise and leadership, where I have successfully managed multi-million euro EU grants and built robust partnership ecosystems.
Currently, I serve as a Senior Innovation Engineer and European University Program Lead at Codasip, where I have expanded our academic partnership network to over 30 global institutions. My role involves steering significant EU projects, coordinating industry-academia collaborations, and leading a distributed R&D team to deliver cutting-edge proof-of-concept solutions in RISC-V and embedded AI. My previous experience at ONSEMI allowed me to grow from a student intern to a senior engineer, where I contributed to notable projects and patents in algorithm design and signal processing.
Experience
Work history, roles, and key accomplishments
Senior Innovation Engineer
Codasip
Oct 2022 - Present (2 years 9 months)
Grew Codasip’s academic partnership network to 30+ global institutions, leading and coordinating industry-academia knowledge transfer initiatives and joint research projects. Co-authored and steered €10M+ EU projects (SYCLOPS, NimbleAI, CHORYS), aligning work-packages with Codasip RISC-V IP roadmap.
Senior Algorithm Design Engineer
Onsemi
Jul 2015 - Oct 2022 (7 years 3 months)
Designed and implemented a novel geometric camera calibration algorithm, an efficient mixed-radix FFT module, and a neural network accelerator. Contributed to successful CES demos, leading as algorithm engineer for one.
Education
Degrees, certifications, and relevant coursework
University of Ljubljana
PhD, Embedded Machine Learning
Completed a doctoral degree focusing on embedded machine learning. The thesis explored massively parallel binary neural networks for FPGAs, contributing to advancements in efficient AI hardware.
University of Ljubljana
MSc & BSc, Electrical Engineering
Obtained both Master of Science and Bachelor of Science degrees in Electrical Engineering. The curriculum covered a broad range of topics within the field, providing a strong foundation in electrical engineering principles.
Availability
Location
Authorized to work in
Job categories
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