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Deep Learning Acceleration/Embedded Engineer

Tel Aviv, Israel Engineering

Job Description:

We are looking for an applied deep learning engineer, with an emphasis on accelerating models inference on an embedded device.

Responsibilities:

  • Accelerating DL models to run efficiently over our embedded device. It includes benchmarking for efficient models, implementing/optimizing specific NN layers (from scratch in C++/Cuda).
  • As part of the DL team, you will also work on the full development cycle of applied deep learning problems such as object-detection, fine-grained classification, change detection. This includes, research, implementation and deployment to the edge device.

Requirements:

  • 4+ years of experience in algorithm development and performance-tuning/optimizations , or equivalent academic background.
  • Hands-on experience in accelerating inference of deep learning models.
  • Excellent coding skills in C/C++. Knowledge in python and Cuda are an advantage.
  • Expert knowledge of at least one DL framework , such as TensorFlow / PyTorch / MXNet.
  • Ability to work collaboratively in a team environment and to communicate complex ideas effectively

If you’re excited by what we’re doing and want to be part of our journey,
email us at jobs@shopic.co

or
Submit your CV with this form:
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