Staff Hardware AI Engineer

ARM; Cambridge; On-site; GBP 97,000 - 132,000; Full time

Job summary

Arm is seeking a Staff Hardware AI Engineer in the United Kingdom to drive AI-powered automation across hardware design and verification. You will bridge hardware engineering expertise with AI tooling, partnering with Architects to deploy at-scale, transforming the daily workflow of Arm engineers.

You will contribute to AI-based automation across RTL, verification, and toolchains, delivering prototypes and facilitating rapid adoption through demos, guides, and cross-team collaboration.

Qualifications

• Hands-on RTL design/verification experience, debugging issues across compile and simulation flows.
• Domain knowledge of at least one major EDA vendor toolset.
• Practical experience using AI for engineering automation (prompt design, structured outputs, tooling).
• Strong ability to diagnose issues quickly and drive cross-team resolution.
• Clear written communication turning ambiguities into actionable requirements.

Responsibilities

• Contribute hands-on to AI-based solutions for hardware design and verification automation.
• Curate/develop solutions using OpenAI Codex skills and tool integrations (simulation flows, log analysis, code review support).
• Collaborate with Arm engineering teams to capture real struggles and turn into requirements.
• Build quick prototypes and evaluate EDA AI tools to validate feasibility and impact.
• Lead adoption with demos, onboarding guides, and removing blockers.

Skills

RTL design & verification

EDA toolset experience

AI tooling for automation

Problem-solving

Written communication

Tools

EDA toolset

Job description

Job Overview:

We’re looking for a passionate Staff Hardware AI Engineer to join our team.

You will build AI-enabled automation that makes Arm digital hardware design & verification engineers drastically improve efficiency across their work assignments thereby improving Arm's cycle time. You’ll bridge deep hardware engineering domain knowledge with AI-based tooling and partner with Architects to apply AI-powered new tools and techniques, at-scale, and transform the day to day working of Arm engineering team.

About the Team

We are the PE AI team, and we focus on improving engineering productivity through smart technology. We work across hardware and software projects, partnering with teams to embed AI into their workflows.

Responsibilities:

• Contribute hands-on toward the development of AI-based solutions for Hardware Design & Verification automation.
• Curate/develop solutions based on OpenAI Codex skills and tool integrations (e.g., simulation flows, log analysis, code review/refactor support).
• Collaborate with Arm Engineering teams to capture real engineering struggles and turn them into clear requirements.
• Build quick prototypes and evaluate EDA AI tools, to validate feasibility and quantify impact.
• Drive adoption as a change leader: run demos/workshops; Contribute onboarding guides; Identify and remove adoption blockers.

Required Skills and Experience:

• Hands on experience with design or verification methodology: Deep understanding of RTL design, interfaces between RTL, testbench and Verification IP, experience with debugging compile and simulation issues.
• Experience with EDA vendor tooling: Domain knowledge of at least one (of the three major) EDA vendor toolset.
• AI tooling fluency: Practical experience using AI for engineering automation (prompt design/iteration, structured outputs, tool use).
• Strong solving attitude: you can quickly diagnose why something doesn’t work in a real environment and drive resolution across teams.
• Clear written communication: can turn ambiguous conversations into requirements and actionable plans.

“Nice To Have” Skills and Experience:

• Automation / scripting: Strong in at least one scripting language (Python preferred). Ability to integrate and orchestrate tools (parsing logs/reports, running flows, collecting results).
• Experience in an Application Engineer / internal customer-facing role where you translated user needs into working solutions.
• Familiarity with agentic workflows, skills, tool calling patterns

What success looks like in 6–12 months:

• Arm Hardware engineers can point to real workflow time saved (cycle time, debug time, triage effort) and product quality improvements (number of bugs found, PPA improvements) with credible evidence.
• Prototypes rapidly prove value or stop quickly with clear learning.
• Teams onboard quickly and stick with it: adoption grows because friction is removed and value is obvious.

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:

United Kingdom: GBP 97,300 - GBP 131,700

France: EUR 78,500 - EUR 106,300

Norway: NOK 975,000 - NOK 1,319,000

Our 10x Mindset

At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset

Use of AI in Your Application

At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application, and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact [e-mail] so we can support you.

Recruitment Adjustments and Accommodations

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 to the extent 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

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

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.