Job Description

AI Vision Processors For Edge Applications

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

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.