What will you do? Develop a software product that optimizes deep learning networks. The optimizations include learnable techniques such as quantization, pruning and compression. This software product is the initial stage of the deep learning inference flow and is essential for enabling Mobileye’s deep learning networks to operate efficiently on low-power hardware within vehicles. Development is mostly in Python programming language, using deep learning frameworks such as Pytorch. Collaborate closely with Mobileye’s algorithm teams to ensure the fast and accurate deployment of their state-of-the-art models. The work encompasses the entire software development cycle, including code implementation, unit testing, CI/CD processes, and more. Literature research and POC implementation of new optimization algorithms. Your work will position you at the forefront of machine learning optimizations. All you need is: BSc/MSc in Computer Science/ Electrical Engineering with computer science chain. Knowledge in Python/C/C++. Knowledge in CI/CD pipelines and containerized environments – advantage. Background in Neural Networks/Deep Learning – advantage. Experience in Pytorch – advantage.
