• VePub Press

We are looking for people with an interest in the field of Computer Vision and Machine Learning to join a small team of self-driven engineers investigating and developing state of the art computer vision algorithms and libraries.

The role would focus on developing and porting libraries and frameworks to provide easy access to various ARM accelerators (CPU, GPU and fixed function hardware).

Work could include both closed and open source efforts and would involve working with a wide away of hardware and software engineers, making sure that vision applications run well on ARM platforms.

You will work on:

Developing libraries and frameworks for all ARM IP, building on existing solutions where possible

Work on designing APIs for computer vision, including working on or providing feedback to shape computer vision frameworks (open source or proprietary)

Work with ARM Research to develop and optimise algorithms and neural networks for ARM IP

Work with industry groups to shape future standards for computer vision and machine learning

Skills and Experience required:

  • Experience with API design or implementation or experience with user space driver implementation

  • Some knowledge of computer vision, including some understanding of classical techniques or neural network approaches

  • Experience with classical image processing and state of the art solutions using neural networks

  • Able to write clear documentation and training material to help users understand an API

  • Clearly defining requirements for other parts of the ARM platform

  • Experience of optimising for ARM IP or other resource constrained systems

  • Industry experience of product development is advantageous