Computer Vision And Machine Learning For Autonomous Driving at NVIDIA
Lombardy, Italy
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Summary
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Senior
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Top School
Alessandro Ferrari is a seasoned computer vision and deep learning engineer with 12 years of experience applying ML to real-world systems, currently focused on autonomous driving at NVIDIA. He combines a strong academic foundation in signal processing and telecommunications with hands-on research and product experience from video transcoding and laboratory automation to safety-critical perception pipelines. Comfortable with GPU-accelerated implementations and end-to-end vision stacks, he has a track record of turning research ideas into production-ready solutions. Based in Lombardy, Italy, he brings a pragmatic developer mindset—technology-obsessed and challenge-seeking—while retaining meticulous attention to algorithmic rigor from his Erasmus and master studies. An unusual thread through his career is bridging low-level video processing (H.264/CUDA) with high-level deep learning for perception, enabling efficient, deployable models.
12 years of coding experience
6 years of employment as a software developer
Bachelor Degree in Computer Engineering - Computer Science, Ingegneria dell'informazione, 110/110, Bachelor Degree in Computer Engineering - Computer Science, Ingegneria dell'informazione, 110/110 at Università degli Studi di Brescia
Coursera
Erasmus Exchange Program, Signal Processing, Image Analysis, Error Control Coding, Erasmus Exchange Program, Signal Processing, Image Analysis, Error Control Coding at Luleå University of Technology
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Alessandro Ferrari - Computer Vision And Machine Learning For Autonomous Driving at NVIDIA