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新竹市, 臺灣
Onsite
Job Description
The engineer will be responsible for the design and development of optimization tools for neural networks, transformers, and large language models (LLMs). This role involves applying post-training, training-aware, and other advanced optimization techniques to enhance model efficiency and performance.
Key responsibilities:
1. Develop optimization toolchains for computer vision models and ISP models (denoising, super-resolution, detail enhancement, etc.).
2. Perform hardware-aware model optimization and porting for Ambarella platforms.
3. Research and evaluate emerging technologies, including pruning, quantization, and fine-tuning techniques for convolutional neural networks (CNNs), transformers, and LLMs.
4. Provide technical support and solutions to customers regarding model optimization and deployment.
Job Requirements:
1. Experience of model deployment would be a plus.
2. Experience of model optimization such as pruning and quantization would be a plus
3. Experience of ISP model fine-tuning would be a plus
4. Experience of model porting would be a plus
5. Background of machine learning based computer vision or ISP knowledge
6. Familiar with machine leaning frameworks like Pytorch, TensorFlow, or Huggingface
7. Skilled in Python and C/C++ programing.