Sergey Losev

PCIe Functional Validation Team Technical Lead

Karmiel, North District, Israel
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Sergey Losev is a technical lead with 9 years of hands-on experience driving validation and automation for high-performance IPU and data center networking products at Intel. He specializes in PCIe functional validation across Gen4/5/6, pre- and post-silicon verification using Simics and Mentor emulation, and Python-based test infrastructure development, complemented by C++ and C# development experience. Sergey has led multi-discipline teams through architecture analysis, compliance testing, and cross-domain HW/FW/SW debugging using lab-grade tools like LeCroy, IXIA/Spirent and Lauterbach. He blends deep technical craftsmanship with pragmatic leadership—defining validation strategies, BOMs and test plans while mentoring engineers and operators. Based in Karmiel, Israel, he brings a proven track record of translating complex system requirements into reliable validation solutions for next-generation silicon.
code9 years of coding experience
job6 years of employment as a software developer
bookNational Technical University "Kharkiv Polytechnic Institute"
bookPE, Computer Software Engineering, 90, PE, Computer Software Engineering, 90 at Ort Braude College
github-logo-circle

Github Skills (25)

transformers10
pytorch10
recommendation-system10
diffusion-models10
inference-engine10
stable-diffusion10
inference10
openvino10
llm-inference10
deep-learning10
gpu10
ai10
generative-ai10
natural-language-processing10
computer-vision10

Programming languages (3)

C++CPython

Github contributions (5)

github-logo-circle
briangrifiin/libfabric

Jul 2018 - Sep 2018

Open Fabric Interfaces
Contributions:4 pushes, 1 branch in 1 month
interfacesminecraftfabric
briangrifiin/tflite2onnx

Dec 2020 - Jan 2021

Convert TensorFlow Lite models (*.tflite) to ONNX.
Contributions:7 pushes, 5 branches in 1 month
deep-learningonnxtensorflow-litetflite-modelstensorflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Sergey Losev - PCIe Functional Validation Team Technical Lead