Graduate Engineer - Machine Learning Applications Apply now
Graduate Engineer - Machine Learning Applications

Graduate Engineer - Machine Learning Applications

Cambridge Entry level
Apply now
ARM

Arm is the industry’s leading supplier of microprocessor technology, offering the widest range of microprocessor designs for almost all applications, across Infrastructure, Consumer devices, Automotive and IoT domains. Combining a vibrant ecosystem with thousands of partners delivering silicon, development tools and software, our technology is at the heart of a computing and connectivity revolution that is transforming the way people live and businesses operate.

This is an excellent opportunity for you to join Arm’s Sales & Partner Enablement (SPE) group, where we offer creative services to drive the successful delivery of our partners’ products.

What you could be doing as a Graduate?

  • Resolving issues and acting as trusted adviser to answer deeply technical inquiries on ML acceleration solutions across Arm IP including NPUs, CPUs, GPUs and other Neural Network accelerators.
  • Delivering world-class technical training, whether by virtual classroom or travelling off-site to visit customers in person
  • Producing excellent technical enablement content for the Arm Developer website and training portal
  • Bridging the gap between Arm’s customers and internal engineering teams, providing detailed feedback and customer insights to improve our products and ensure we are best enabling customer success

We are looking for individuals who:

Hold (or are on track to hold) a degree in Electronic Engineering, Computer Engineering, Computer Science or any other relevant subject. Other degree types may be considered with relevant experience.

Skills & Experiences:

  • Passion for solving technical problems and strong analytical approaches.
  • Ability to express ideas and communicate effectively.
  • Good software engineering skills, in programming and debugging such as C, C++ or Python.
  • Hands-on experience of machine learning and neural networks.
  • Some work experience in technical companies or labs is welcome.

Qualities that will help your application stand out:

  • Good interpersonal skills with an analytical approach and can explain things clearly.
  • Curiosity about technology outside of the classroom – personal projects, hackathons, or internships etc.
  • Adaptability and willing to learn how to use unfamiliar tools and systems.
  • Desire to continuously develop skills and accept a variety of responsibilities and challenges.

Additional Information:

Graduate roles will start in September 2025.

We encourage early applications and review them on the first come and first served basis. We aim to review all applications no later than two weeks after received. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.

We will ask you about whether you hold the right to work in the UK as part of your application, so that we can ensure we comply with UK government requirements. If we make you an offer and you do not have the right to work in the UK, we will sponsor you, provided that you meet the criteria for the UK Skilled Worker Visa.

Please note this role does not meet the 2024 UK Skilled Worker Visa salary threshold requirements.

If you are not sure about your right to work in the UK, or need more information, please visit the UK Visa & Immigration Website.

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.

ARM

Contact Detail:

ARM Recruiting Team

Graduate Engineer - Machine Learning Applications
ARM Apply now
ARM
  • Graduate Engineer - Machine Learning Applications

    Cambridge
    Entry level
    Apply now

    Application deadline: 2027-08-18

  • 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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