Computer vision and NN ISP algorithm toolchain and optimization engineer

Posted 5 Days Ago
Be an Early Applicant
Hsinchu County, TWN
In-Office
Mid level
Artificial Intelligence • Computer Vision
The Role
Design and develop hardware-aware optimization toolchains for computer vision and ISP models, apply pruning/quantization and other techniques, port models to Ambarella platforms, research emerging optimization methods, and provide customer support for model deployment.
Summary Generated by Built In
AI Vision Processors For Edge ApplicationsOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.

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.

Skills Required

  • Background in machine learning based computer vision or ISP knowledge
  • Familiar with machine learning frameworks like PyTorch, TensorFlow, or Hugging Face
  • Skilled in Python and C/C++ programming
  • Experience of model deployment
  • Experience of model optimization such as pruning and quantization
  • Experience of ISP model fine-tuning
  • Experience of model porting
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The Company
HQ: Santa Clara, CA
658 Employees
Year Founded: 2004

What We Do

Ambarella (Nasdaq: AMBA) is a leading developer of visual AI products. Our technologies enable a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power system on chips (SoCs) offer high-resolution video compression, advanced image processing, and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com

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