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Senior Performance Analysis Engineer – Machine Learning

Cambridge
8 months ago
Applications closed

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Job Overview

Arm's Machine Learning group is hiring in western Europe! Want to help show developers the AI capabilities of efficient, next-generation mobile devices? If so, we should talk!

We are a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We develop examples that we share with the world to highlight the frameworks and techniques available to developers seeking to run AI on Arm.

Responsibilities:

We use our interpersonal and communications skills in direct contact with outstanding companies across multiple technology domains - we forge new paths and assist developers the world over to follow in our footsteps, helping them to bring their visions to bear.

This is an excellent opportunity to contribute to the solutions powering the next generation of mobile applications, portable devices and home automation.

We look forward to receiving your application - and potentially welcoming you to Arm.

Required skills and experience:

Good programming skills - preferably C++ and OOP

Experience of machine learning frameworks such as TensorFlow or PyTorch

A desire to have a positive impact both within our team and the wider Arm ecosystem

"Nice to have" abilities and knowledge:

Programming mobile GPUs (e.g. using shaders, Vulkan) would be a valuable differentiator

Development experience using Kotlin or Java

Android application development using Android Studio

In Return:

In return, the successful candidate will get to influence the next wave of developers on how best to deploy Machine Learning workloads on Arm processors. You'll have the chance to interact with a wide range of engineers from prospective Arm customers through to members of the Arm ecosystem. Your work will be published widely, whether as technical blogs or open source code repositories.

 

#LI-JB1

 

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

National AI Awards 2025

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