Junior Compiler Engineer for Deep Learning Optimization

Mobileye is the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.

Our group is located in Haifa and is responsible for enabling the deep learning and computer vision algorithms on the Mobileye platform. The technology we develop enables state-of-the-art deep neural networks to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles.

This is an exciting opportunity to work with highly talented engineers and be a part of a product with a lot of innovation and work on cutting-edge compiler and optimization technologies in the AI domain.

What will your job look like:

• 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 optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ML models to Mobileye HW and efficiency mimic the execution of the nets on the CPU
• Develop software products that include design methodology and code quality techniques.
• Work on open source projects such as LLVM, MLIR.
  
  

• BSc in Computer Science / Software Engineering.
• Experience with C++.
• Experience with compiler technologies such as LLVM/MLIR - advantage.
• Experience in Python - advantage.
• Knowledge in PyTorch - advantage.
• Ability to work independently and quickly learn new technologies and systems.