Job Overview

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.

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

• 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.

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. 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.

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.

Hybrid Working at Arm

Arm’s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, 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.