Machine Learning Engineer
Descriptions
- Develop architecture modeling tools for RTL design and design verification.
- Develop and validate test cases to verify accuracy and efficiency of modeling tools.
- Design novel algorithms to solve computer vision and machine learning problems.
- Work with engineer teams to realize the architecture of Artificial Intelligence IP, to ensure optimization of entire hardware/software stack and to maximize the efficiency and utility of AI solutions.
Requirements
- Master of Science in Statistics, Mathematics, Computer Science or a related field.
- 2 years of work experience in machine learning engineering or related.
- Proficiency in C, C++, Python. Familiar with DL frameworks (TensorFlow, PyTorch) and neural networks. Knowledge about NPU hardware.
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