GPU Hardware Analysis and Automation Engineer

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., * Analyse engineering data to track PPA quality, investigate unexpected changes, understand feature impact, and support technical recommendations during GPU IP development.

• Work with hardware, modelling, performance, and implementation teams to understand design trade-offs, validate results, flag suspicious data, and support product release activities.
• Develop scripts, automation, reports, and AI-assisted workflows to make data handling, analysis, validation, and reporting more efficient and repeatable.

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?, * Foundation in digital hardware design or computer architecture, with basic understanding of how hardware choices, operating frequency, voltage, area, and implementation targets can affect power, performance, timing, and bandwidth.

• Ability to analyse technical data, reason about trade-offs, investigate unexpected results, and communicate findings clearly.
• Programming or scripting skills, for example Python, with interest in using automation and AI tools to accelerate engineering investigations and repetitive tasks.

“Nice To Have” Skills and Experience:

• Familiarity with GPU architecture, graphics pipelines, RTL development, verification, modelling, implementation, or performance analysis.
• Experience with data processing, organising engineering data, dashboards, visualisation, report automation, or AI-assisted coding and analysis.
• Experience working with engineering flows, simulation results, performance counters, power estimates, implementation reports, or other hardware development data.

Cambridge: £168,300 - £227,700 Sophia Antipolis: €136,800 - €185,000

Bangalore: ?11,025,000 - ?18,375,000

We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm’s offering. The total reward package will be shared with candidates during the recruitment and selection process.

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 . 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., We provide benefits beyond a competitive salary to reward our people for their dedication and contributions.

Power the Future on Arm

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.

Spanning software’s full spectrum, from compilers to AI-powered IoT and beyond, your code can enable virtually anything to be produced on silicon. Whether you’re developing award-winning VR gaming or life-enhancing medical equipment, you can improve the lives of millions by being your brilliant self at Arm.