Are you a student looking to enhance your skills and collaborate on your Master Thesis? Arm offers real-world projects to apply your knowledge, boost your development, and advance your future career!
A significant part of Arm’s work in Lund involves developing our Neural Processing Units (NPUs). These are processors designed to run Machine Learning neural networks on edge devices, such as a smartphone or even smaller. This technology is still in its early stages, with many ideas yet to be explored. We invite you to join us on this journey and contribute through your thesis project!
What you could be doing as a Master Thesis Student?
Below is a list of our current project offerings within Machine Learning Software:
- Speculative decoding for accelerating mixture-of-expert inference
- Reliable and efficient sustained LLM inference through the Vulkan ML Emulation Layer
- Memory- and performance-aware operator scheduling for Vulkan ML inference
We are looking for individuals who:
Are currently enrolled and studying towards a Masters Degree.
- Solid understanding of machine learning, neural networks and good maths' knowledge.
- Experience with programming in C/C++/Python and familiarity with ML frameworks such as pytorch.
- Professional proficiency in English.
- Affiliated with a Swedish university/college either directly or via an exchange program.
Qualities that will help your application stand out:
- Curiosity about machine learning and software development.
- Transformers and LLM architecture
- Passion for learning and creative problem solving.
- Strong interpersonal and collaboration skills, with the ability to communicate ideas effectively.
- Excellent attention to detail while understanding the bigger picture.
- Understanding of computer architecture and micro-architecture concepts.
Additional Information:
We encourage early applications as we review them on a first come/first served basis.
When applying, specify the project you are interested in and attach your project proposal if you have your own idea. Please include your University Transcript (Grade sheet) to your application together with your English CV. If applying with a partner, submit a single application together, and provide both applicants' CVs and transcripts.
Please note we are unable to provide visa sponsorship for this role. Applicants must have the right to work in the country where the role is based, without relying on sponsorship by Arm, for the full duration of the master's thesis project.
In Return:
Working on interesting new projects is exciting, but we also know how important it is to receive support. Throughout your project, you can expect regular feedback and development opportunities, social activities and insights of the state of the art research and development happening with in Machine learning today. #getreadytogrow
You’ll receive a one-time project completion fee of SEK 60,000. Our Master thesis projects are crafted to give you the best start possible and support your personal growth as well as professional development.
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|Explore the future of Machine Learning at Arm in Lund. Develop new approaches for NPUs, tackle real-world engineering challenges and apply your university knowledge through a Master’s thesis.|
Our 10x Mindset
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset
Use of AI in Your Application
At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.
Recruitment Adjustments and Accommodations
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation 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 or adjustment 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
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
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.
