Summary
Yarib Nevarez is an embedded systems engineer and researcher with nine years of experience building low-level Linux software, device drivers, and hardware–software co-design for SoC/FPGA platforms. Currently a postdoc at NXP, he focuses on hardware acceleration for energy-efficient AI in embedded systems, blending C/C++ expertise with VHDL and Linux kernel development. His background spans robotics middleware and GUI tools, automotive firmware and POS system support, and early work on image/math processing for consumer hardware. Trained in embedded systems design and deep learning accelerators (M.Sc. and PhD work), he combines practical field support experience with academic research to deliver deployable accelerators. Motivated by “improving energy efficiency in AI engines,” he brings a pragmatic, cross-disciplinary approach that bridges silicon, drivers, and ML inference stacks.
8 years of coding experience
8 years of employment as a software developer
PhD candidate, Deep learning accelerators, PhD candidate, Deep learning accelerators at University of Bremen
M.Sc. in Embedded Systems Design, Hardware software codesign of embedded systems, M.Sc. in Embedded Systems Design, Hardware software codesign of embedded systems at Bremerhaven University of Applied Sciences
Bachelor of engineering in electronics, Digital systems, Bachelor of engineering in electronics, Digital systems at Instituto Tecnologico de Durango
English, German, Spanish