AI Compiler Engineer for Machine Learning Acceleration
2 weeks ago
Job Responsibilities:
- Develop a comprehensive AI compiler strategy that delivers a highly flexible platform to explore new DL/ML model architectures.
- Collaborate with AI researchers to analyze deep learning models and lower them efficiently on AI platforms.
- Partner with hardware design teams to develop compiler optimizations for high performance.
- Apply software development best practices to design features, optimization, and performance tuning techniques.
Requirements:
- 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 languages.
- Experience in accelerating deep learning models or libraries on hardware architectures.
- Experience working with machine learning frameworks such as PyTorch, TensorFlow, or ONNX.
- Ability to speak and write in English at a business level.
- Experience as a Product Owner of a Scrum team is a plus.
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