Join the cutting-edge team at Samsung R&D Center as we embark on shaping the future of technology today. Beyond merely envisioning the horizon, we are actively pushing boundaries in various key areas of innovation. Samsung is committed to pioneering continuous advancements, delivering value to society, and fostering an environment where our employees can fully unleash their talents, creativity, and passion. Join us in building the tomorrow we envision.

The Group

Our Vision group is dedicated to developing cutting-edge AI solutions for computer vision in the embedded world. We play a pivotal role in the development and integration of key features for smartphones, the automotive industry, and more.

What will you do?

As an AI Quantization Engineer, you will join a highly skilled software team to develop state-of-the-art tools and infrastructure used by Samsung teams worldwide for productizing deep learning models on embedded systems. Your responsibilities will include:

• Research existing academic literature and develop advanced quantization schemes.
• Developing hardware-oriented approximations for various neural network operators.
• Work closely with HW and SW architects to define the future generation of NN accelerator HW.
• Gaining expertise in a variety of hardware architectures used for inference on embedded systems.
• Supporting team members to improve quantization accuracy.

Requirements

• B.Sc. in Electrical Engineering, Computer Engineering, or equivalent.
• 5 years experience as SW Engineer
• 3+ years experience in Python
• Proven experience developing neural network models using TensorFlow and PyTorch.
• Deep understanding of the mathematical principles underlying neural network development and training.
• Passion for production level SW development

Advanced:

• Experience with neural network quantization processes.
• Master’s degree with a relevant research focus.