Overview

Job Overview

Arm’s Machine Learning group is hiring in western Europe! Want to help show developers the AI capabilities of efficient, next-generation mobile devices? If so, we should talk!

We are a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We develop examples that we share with the world to highlight the frameworks and techniques available to developers seeking to run AI on Arm.

Responsibilities:

We use our interpersonal and communications skills in direct contact with outstanding companies across multiple technology domains – we forge new paths and assist developers the world over to follow in our footsteps, helping them to bring their visions to bear.

This is an excellent opportunity to contribute to the solutions powering the next generation of mobile applications, portable devices and home automation.

We look forward to receiving your application – and potentially welcoming you to Arm.

Required skills and experience:

  • Good programming skills – preferably C++ and OOP
  • Experience of machine learning frameworks such as TensorFlow or PyTorch
  • A desire to have a positive impact both within our team and the wider Arm ecosystem

“Nice to have” abilities and knowledge:

  • Programming mobile GPUs (e.g. using shaders, Vulkan) would be a valuable differentiator
  • Development experience using Kotlin or Java
  • Android application development using Android Studio

In Return:

In return, the successful candidate will get to influence the next wave of developers on how best to deploy Machine Learning workloads on Arm processors. You’ll have the chance to interact with a wide range of engineers from prospective Arm customers through to members of the Arm ecosystem. Your work will be published widely, whether as technical blogs or open source code repositories.

 

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This job was originally posted as: https://click.appcast.io/track/jy54cr1?cs=pe7&jg=7643&bid=GYeLBZEi20gqjEjkE6QvTw==