Responsibilities
- Development of AI compiler framework, high performance kernel authoring and acceleration onto next generation of hardware architectures.
- Contribute to the development of the industry-leading machine learning framework core compilers to support new state of the art inference and training machine learning/AI accelerators and optimize their performance.
- Collaborating with AI research scientists to accelerate the next generation of deep learning models such as recommendation systems, computer vision, or natural language processing.
- Performance tuning & optimizations of deep learning frameworks.
- Model optimization by developing the pruning & quantization algorithms and hardware neural architecture search technique.
Qualifications
- Bachelor’s or Master’s degree in computer science, machine learning, mathematics, physics, electrical engineering or related field.
- Experience in C/C++, Python, or other related programming language
- Experience in accelerating deep learning models or libraries on hardware architectures.
- Experience with Post Training Quantization (PTQ), Quantization Aware Training (QAT) and other quantization techniques and strategies
- Experience working with machine learning frameworks such as PyTorch, TensorFlow, ONNX etc.
- Ability to speak and write in English at a business level.
- Experience of Product Owner of scrum team is plus.
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EA Reg. ID: R22109658 (Teng Yong Yao)
EA License No.: 01C4394
