Job ID 2025-14673

Date posted Jun. 16, 2026

Location Cambridge, United Kingdom

Category Software Engineering

The Central Technology Team within Arm develops key technologies which will form the foundation of future products.

You will join a multinational, multifaceted, collaborative and highly motivated Machine Learning Hardware Architecture team in Central Technology to help craft the direction of Machine Learning in Arm IP designs.

Job Overview:

You will be working on a team that enables the capabilities of Arm's machine learning accelerators by creating tools that push the limits of the architecture. These tools are used across the architecture group to demonstrate that proposed features are suitable for implementation and can be unlocked by the software teams.

Responsibilities:

• Develop tools that expose proposed hardware features and evaluate the resulting performance.
• Work with hardware architects to define the software interfaces to new features.

Required Skills and Experience :

• Strong programming experience in C++ and Python.
• Solid understanding of computer architecture.
• Good written and verbal communication skills.
• Experience developing software interfaces on large projects.
• Ability to understand accelerator designs.

“Nice To Have” Skills and Experience :

• Familiarity with Machine Learning frameworks.
• Experience working with architects and modellers to test proposed features.
• Understanding of memory systems and hierarchy.

In Return:

You will join an established and experienced team working with innovative technologies in an agile environment which requires proactivity, multifaceted approaches to problem solving and creative thinking.

Please note that a relocation package (including visa sponsorship support) is available for this role, for candidates who require it.

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Accommodations at Arm

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 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.