Graduate Machine Learning Engineer - Central Technology

The mission of the Central Technology Machine Learning (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of AI computing on Arm architecture. We believe that innovative AI technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on finding the best way to balance among all these constraints. The CTML Content and Algorithm team plays a key role within the Centre of Excellence for Machine Learning. We actively support this joint development initiative, conducting in-depth analyses of complex AI models on Arm computing platforms and devising algorithms that will make AI run better on Arm.

What you could be doing as a Graduate?

Develop in depth understanding of current and future ML/AI workload on Arm compute platforms with a focus on their PPA (performance, power, and area).

• Understand and follow the latest technology trends in ML/AI, collecting and analysing these use cases to drive the direction of ML/AI workload support in all phases of Arm IP development.
• Develop hardware aware optimization algorithm that can make state-of-the AI models run on Arm platforms including CPU/GPU/NPUs.
• Develop internal tooling capabilities to support algorithmic and architecture exploration.

We are looking for individuals who:

• Hold (or are on track to hold by the programme start date) a Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields.
• Developing and working with software systems in programming languages like Python, good knowledge of Hardware and Software design.
• Experience in training and deploying ML/AI models using deep learning libraries such as Pytorch or Tensorflow.
• Strong technical communication skills.

Qualities that will help your application stand out:

• Demonstrated ML/AI projects experience in industry or academia.
• Experience with optimizing compute kernels (e.g. CUDA, Triton).
• Hardware-aware performance optimization of ML/AI models.
• Passion and adaptability to the fast-moving AI industry and willing to learn new technology in a very dynamic environment.
• Good knowledge of the whole machine learning stack from model to hardware implementation

Additional Information:

We encourage early applications as we review them on a first come/first served basis. Please provide an academic transcript as part of your application.

Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it.

In Return:

You’ll receive a starting salary of SEK 545,000 (Bachelor level) or SEK 555,000 (Master level), alongside a comprehensive rewards package. As you develop in role, you’ll have clear opportunities to progress within the salary range at Arm. With mid-year and year-end reviews, you’ll have two formal progression windows each year, recognising your growth.

You can also attend our “Grad-teach-Grads” workshops, guest speaker series, and social events to expand your knowledge. If you’d like to get more involved, you can join the Graduate Committee to further develop your planning, networking, and coordination skills.

You’ll be invited to our Global Graduate Conference (GGC) — an annual event where graduates hear from executive leaders, guest speakers, and build lasting connections.

With many of our leaders and technical specialists having originally joined as a Graduate, will you be next?

#LI-SS1

|Shape the future of AI on Arm. Analyse ML workloads, develop hardware-aware optimisation algorithms, and build tools that improve performance, power efficiency, and scalability across CPU, GPU, and NPU platforms.|

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.