Machine Learning Software Engineer Intern Apply now
Machine Learning Software Engineer Intern

Machine Learning Software Engineer Intern

Galway Internship
Apply now
ARM

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 machine learning on 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 exceptional design centre has been delivering innovative software to deploy Arm IP and enable Machine Learning on Arm devices for many years.

What a Machine Learning Software Intern will be doing?

s an intern you will work in one of our Machine Learning teams. You will need to be creative, innovative and enthusiastic about new technologies. Our engineers build software; enabling world-class performance and low power designs.

  • Interns immediately start working on real project tasks that follow modern Agile principles. Through teamwork, mentorship and dedication to personal development, our goal is that everyone starts contributing to the codebase and ultimately develops into an expert in the field.
  • You will be working in a global, multi-cultural organisation, offering successful candidates the opportunity to be exposed to a wide range of software and hardware engineering fields.

We are looking for individuals who:

  • Working towards a university degree (or equivalent) in Computer Science or a related field.
  • An understanding of computer architecture and how software and hardware interact.
  • Knowledge of object-oriented programming using languages such as C++ or Python.
  • Ability to express ideas and communicate effectively.
  • Comfortable working in Linux.

Qualities that will help your application stand out:

  • Basic knowledge of scripting languages.
  • Experience of building software outside of the classroom – personal projects, hackathons.
  • Familiarity with the concepts of neural networks (Machine Learning).
  • Contributions to open-source projects.
  • Exposure to git.

Additional Information:

We encourage early applications as we review them on a first come/first served basis.

Arm Internships require you to be enrolled in a higher education degree and be returning to your course after your internship/placement.

If you are graduating in 2025 you will not be eligible for an Intern role but you will be eligible for our graduate roles.

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:

Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That’s why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow

In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.

 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.

ARM

Contact Detail:

ARM Recruiting Team

Machine Learning Software Engineer Intern
ARM Apply now
ARM
  • Machine Learning Software Engineer Intern

    Galway
    Internship
    Apply now

    Application deadline: 2027-08-24

  • ARM

    ARM

    Cambridge
    1990

    Arm technology is defining the future of computing. If you have a smartphone, digital camera, gaming console or a car, you’re already using Arm powered technology. Arm technology is transforming the way people live, work, play and learn. Our energy-efficient processor designs and software platforms have enabled advanced computing in over 287 billion chips. In the same way that we fuelled the smartphone revolution, we’ll power every technology revolution moving forward. Together we can change the world. Again. Founded by a dozen engineers working from a converted turkey barn in Cambridge back in 1990, we have grown to over 5,900 employees…

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