Overview

Job Overview:

We are looking for a cunning champion in software engineering with a strong analytical mindset to join the team and help ensure the best ML performance with most recent Arm ML software, systems and IP.

 

The successful engineer will be highly flexible, quick to learn and be motivated by the opportunity to understand and improve the performance of future Machine Learning solutions using Arm technology.

Are you our next team member?

Responsibilities:

As a member of the ML System Analysis team you will conduct performance analysis investigations to gain insights and help influence the direction of Machine Learning software. We work in small teams, so your contributions will make a difference.

You will engage with specialists across Arm, including software and systems teams to understand, explore and challenge the limits of performance capabilities.

 

You will use advanced pre-silicon platforms of next-generation systems, to understand new use-cases and significant workloads to ensure Arm IP and systems deliver excellent ML performance.

Required Skills and Experience :

  • Experience with SW development in languages such as Python, C, C++
  • A passion for analysis and improvements.
  • Strong communication skills, inter-cultural awareness and you embrace diversity.
  • Ability to distil and pick out key findings from large amounts of data.

“Nice To Have” Skills and Experience :

  • Experience with pre-silicon platforms such as Models, RTL simulation, emulation or FPGA.
  • Data analysis and visualisation, for example Jupyter Notebooks

In Return:

At Arm, you will enjoy working in a highly stimulating collaborative environment. Our team works closely with other software, hardware and system teams across the company.

 

You will have a chance to share ideas with and learn new skills from the best engineers in the world. We work in small teams, so your contributions will really make a difference.

 

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This job was originally posted as: https://click.appcast.io/track/jy54cqg?cs=pe7&jg=7643&bid=GYeLBZEi20gqjEjkE6QvTw==