Hardware Engineering Intern

Sheffield
5 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Machine Learning Engineer

Machine Learning Engineer London, UK

Machine Learning Engineer

Machine Learning Engineer Cambridge, UK

Automation Engineer

Join us on our Global Internship Program and grow within one of the most historical UK-forged technology companies!

Ready to dive into real-world projects, expand your industry connections, and build skills that will carry you onto the next stage of your career?

 

Areas offering Hardware Intern Roles:

 

We have a range of 3, 6 or 12 months industry placements across our hardware teams. These opportunities are available within:

 

Architecture Technology Group, Central Processing Unit, Central Technology, Graphics Processing Unit, Productivity Engineering, Systems, Solutions Engineering and Machine Learning. Each Groups offers a new perspective and challenge within the Hardware Career pathway. To find out more about each of these business groups please refer to the following document: 

 

During the application process you will be able to share your interest for a specific Business Group, or "opt-in" to all Groups broadening your opportunity.  We work in small to medium-sized teams with most following modern Agile principles. Engineers share ideas and add to the ideas of others, document and present their work for discussion, review and support the efforts of others, whilst sharing their findings impartially and authoritatively.

In your role, you will be introduced to the teams, our ways of working, be treated liked any other engineer on the team and support by expert engineers.

 

What could you be doing as a Hardware Intern?

 

Working with design teams to develop IP that delivers high performance, power efficient products.

Analysing existing tools looking for enhancements/automation, alongside trialling new tools.

Verifying IP using a wide range of methodologies – constrained random simulation using testbenches written in SystemVerilog, running real applications on emulation or FPGA platforms, and using formal methods.

Implementing Arm IP in silicon process nodes using design automation tools.

Developing system solutions using ARM IP for different market domains ranging from mobile, IoT, data centres, etc.

Writing specifications for Arm’s IP products and systems – analysing trade-offs between different options using software or hardware models.

Providing Verification and Implementation support for systems through the lifecycle of the design right up to the delivery to the customer.

We're looking for individuals who are:

 

You will need to be studying towards a degree in Electronic Engineering, Computer Engineering, Computer Science or any other relevant subject. Other degree types may be considered with relevant experience.

 

Qualities that will help your application stand out:

 

Experience in at least one programming language.

A real passion for computing and/or the semi-conductor industry that goes beyond your studies.

Good attention to detail with the ability to problem solve and express ideas effectively.

Team-spirit with an appreciation for the "We, not I" core belief.

If you have an interest in computer architecture fundamentals, digital design concepts, CPU architecture and microarchitecture features (such as caches, MMU, SMP, coherency, CPU pipelines) this is a plus, but not essential.  Any familiarity with a hardware description language like VHDL or Verilog/SystemVerilog is also helpful.

Additional Information:

 

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. Our graduate roles will be advertised on the Arm Early Careers website .

 

Internship Start Dates: April and June 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 your informed.

 

In Return:

 

Working on interesting new projects is exciting, but we also know how meaningful 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 summer celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow

 

Our program is crafted to give you the best start possible and support your personal growth as well as professional development.

 

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.

 

 

#LI-FG1

 

.

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 . 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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.