we are 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 company 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 our cpmpanys product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our company hardware and software
Develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as PyTorch and converts them into code suitable for execution on custom-built our company 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.
Our group is located in Haifa and is responsible for enabling the deep learning and computer vision algorithms on the company 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 our cpmpanys product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our company hardware and software
Develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as PyTorch and converts them into code suitable for execution on custom-built our company 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
Experience in PyTorch – Advantage
Experience in LLVM/MLIR – Advantage.
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
Experience in PyTorch – Advantage
Experience in LLVM/MLIR – Advantage.
This position is open to all candidates.
