Are you interested in designing software that will enable the world's future technology ecosystem? You are at the right place: apply now!
At Arm Galway, we are creating the next wave of software to enable billions of devices worldwide!
Arm’s Galway design centre is located on the beautiful west coast of Ireland. Galway is a vibrant city – the cultural heart of Ireland.
This outstanding design centre has been delivering innovative software to enable Machine Learning on Arm devices for many years.
As a graduate engineer you will work as part of one of our software teams delivering machine learning on Arm devices. You will need to be creative, innovative and enthusiastic about software. Our engineers build software enabling extraordinary performance and low power designs.
What you could be doing as a Machine Learning Graduate?
As a Graduate engineer immediately start working on real project tasks with the help and mentorship of experienced engineers.
Through teamwork, training and dedication to personal development, our goal is that every graduate engineer quickly starts contributing and ultimately develops into an expert in the field.
You will be working in a global, multicultural organisation, offering successful candidates the opportunity to be exposed to a wide variety of software and hardware.
We are looking for individuals who:
- Hold (or are on track to hold) a degree in Software Engineering or any other relevant subject. Other degree types may be considered with relevant experience
- Be comfortable working in Linux
- An understanding of computer architecture and how software and hardware interact
- Experience of C++ or another object-oriented programming language
- Ability to express ideas and communicate effectively
Qualities that will help your application stand out:
- Experience of building software outside of the classroom – personal projects, hackathons, or internships
- Basic knowledge of scripting languages, e.g., Bash, Python
- Contributions to open-source projects
- Familiarity with the basic concepts of neural networks
- Hands-on experience in a software engineering environment
Additional Information:
We encourage early applications as we review them on a first come/first served basis.
We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.
In Return:
In addition to a competitive salary and comprehensive rewards package, you'll also receive the support, autonomy and opportunity to excel in your career.
With a mid-year, and year-end review you'll have two windows each year to progress recognizing the pace at which you could grow. Attend our "Grad-teach-Grads" workshops, guest speaker series and various social events to expand your knowledge. Want to take this a step further? Join our Graduate Committee and home in on your planning, networking and co-ordination skills.
You'll also be invited to our exclusive Global Graduate Conference (GGC)! A yearly occurrence exclusive for Graduates allowing you to hear from executive members, inspiring speakers and make connections for life.
With many of our leaders and technical specialists having originally joined as a Graduate, will you be next?
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