GPU Hardware Analysis and Automation Engineer

ARM; Cambridge; Hybrid; GBP 168,000 - 228,000; Full time

Job summary

Arm is seeking 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 collaborate with hardware design, verification, modelling, performance, and implementation teams to investigate trends, regressions, feature impacts, and trade-offs in next-generation GPU products.

The role combines hardware development knowledge with data analysis, scripting, automation, and AI-assisted

Qualifications

• Foundation in digital hardware design or computer architecture.
• Ability to analyse technical data, reason about trade-offs, investigate unexpected results, and communicate findings clearly.
• Programming or scripting skills, for example Python.

Responsibilities

• 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.

Skills

Digital hardware design

Computer architecture

Data analysis

Python scripting

Job description

Job Overview:

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.

Responsibilities:

• 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.

Required Skills and Experience:

• 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.

In Return:

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.

Additional Information:

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.

Salary Range:

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 [e-mail]. 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.