Experienced Compiler Engineer at Mobileye developing deep learning optimization technologies and compilers for neural networks on custom hardware in the automotive sector.
Responsibilities
Shape Mobileye’s product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of Mobileye hardware and software
Develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow and PyTorch and converts them into code suitable for execution on custom-built Mobileye hardware
Use state-of-the-art open-source technologies such as MLIR and work closely with the open-source community
Develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ML models onto our state-of-the-art systems
Develop a toolchain that will provide a quantum leap in Deep learning capabilities and performance
Requirements
BSc/MSc in Computer Science/Software Engineering from a leading university
At least 3 years of practical experience with C/C++
Background in Neural Networks/Deep Learning – Advantage
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