Graduate Engineer - Machine Learning

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?

Accommodations at Arm

At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.