GPU Hardware Analysis and Automation Engineer

Are you passionate about hardware development and understanding how design choices impact power, performance, area, timing, and bandwidth? Do you enjoy analysing engineering data, investigating unexpected results, and helping teams make better technical decisions?

The GPU team at Arm is looking for an engineer to support hardware IP development, with a focus on tracking, analysing, and improving understanding of PPA quality throughout the project lifecycle. You will work with teams across hardware design, verification, modelling, performance, and implementation to investigate trends, regressions, feature impacts, and trade-offs in next-generation GPU products.

This role combines hardware development knowledge with data analysis, scripting, automation, and AI-assisted investigation. It requires curiosity about how hardware features, configurations, implementation choices, and operating conditions affect engineering metrics. While the role is focused on PPA analysis and methodology rather than direct RTL design, you will work closely with hardware teams and contribute to decisions that shape GPU IP quality.

You will have the opportunity to contribute to advanced GPU development by helping engineers understand, track, and improve PPA quality. You will learn how hardware IP progresses toward delivery, work with a wide range of engineering teams, and apply modern automation and AI-assisted methods to real hardware development challenges.

Please note that no relocation package is available for this role.

If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.

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At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected] . 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.

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.

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.

Working in software engineering at Arm is about shaping a future of technology for which we don't yet have words. Our engineers lead innovation in physical IP, AI and machine learning, cloud architecture, automotive tech, and every aspect of computing that matters.

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