Staff Hardware AI Engineer - AI-Driven Design & Automation

ARM

Cambridge

Hybrid

GBP 97,000 - 132,000

Full time

14 days+
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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

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.

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