Staff Hardware AI Engineer

ARM; Cambridge; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

ARM is seeking a Staff Hardware AI Engineer in Cambridge to lead AI-enabled automation for hardware design and verification. You will work with Architects to build AI-driven tools that accelerate projects and improve cycle times.

The role emphasizes hands-on design/verification, tooling integration, and cross-team collaboration in a hybrid work environment. You will prototype AI solutions, evaluate EDA AI tools, and help teams adopt new workflows.

Qualifications

• Hands-on experience with RTL design and verification methodologies.
• Familiarity with major EDA vendor toolsets.
• Experience applying AI for engineering automation.
• Strong problem-solving and cross-team collaboration.

Responsibilities

• Develop AI-driven solutions to automate Hardware Design and Verification processes.
• Create and refine solutions using OpenAI Codex and integrate tools like simulation flows and log analysis.
• Collaborate with Arm’s Engineering teams to translate challenges into project requirements.
• Develop prototypes and assess EDA AI tools for feasibility and impact.
• Lead change initiatives with demonstrations, workshops, onboarding materials, and addressing adoption barriers.

Skills

RTL design

Verification IP

EDA tooling

AI automation

Python scripting

Problem solving

Tools

OpenAI Codex

EDA toolsets

Job description

Staff Hardware AI Engineer Overview

• Company Name: ARM
• Job Role: Staff Hardware AI Engineer
• Qualifications: Not Specified
• Category: IT Jobs
• Job Type: Full Time
• Location: Multiple Locations

We are seeking a dedicated Staff Hardware AI Engineer to join our innovative team in Cambridge. In this role, you will focus on developing AI-enabled automation tools that enhance the efficiency of Arm’s digital hardware design and verification engineers, ultimately improving project cycle times. You will leverage your extensive hardware engineering knowledge to collaborate with Architects and implement AI-driven tools and techniques that transform the daily operations of the engineering team.

About the Team

The PE AI team is committed to enhancing engineering productivity through advanced technology. We collaborate across hardware and software projects to integrate AI into various workflows.

Responsibilities

• Engage in the hands-on development of AI-driven solutions aimed at automating Hardware Design and Verification processes.
• Create and refine solutions utilizing OpenAI Codex skills and integrate various tools such as simulation flows and log analysis.
• Work collaboratively with Arm’s Engineering teams to identify real-world engineering challenges and translate them into clear project requirements.
• Rapidly develop prototypes and assess EDA AI tools to determine their feasibility and measure their impact.
• Lead change initiatives by conducting demonstrations and workshops, creating onboarding materials, and addressing barriers to adoption.

Required Skills and Experience

• Proven hands-on experience with design or verification methodologies, including a deep understanding of RTL design and the interactions between RTL, testbench, and Verification IP.
• Familiarity with at least one major EDA vendor toolset, demonstrating domain knowledge in EDA tooling.
• Practical experience in applying AI for engineering automation, including prompt design and structured output generation.
• Strong problem-solving skills, with the ability to quickly diagnose issues in real-world environments and facilitate resolutions across teams.
• Excellent written communication skills, capable of converting vague discussions into precise requirements and actionable plans.

Nice To Have Skills and Experience

• Strong proficiency in at least one scripting language, preferably Python, for automation and tool integration.
• Experience in an Application Engineer or customer-facing role, translating user needs into effective solutions.
• Familiarity with agentic workflows and tool calling patterns.

What Success Looks Like in 6â12 Months

• Arm Hardware engineers will report significant time savings in workflows and improvements in product quality, supported by credible evidence.
• Prototypes will demonstrate clear value or quickly provide insights for further learning.
• Teams will adopt new tools efficiently, with increased usage as barriers to adoption are minimized.

Additional Information

Please note that no relocation package is available for this role. If skilled worker sponsorship is required, Arm will cover the employer’s costs associated with sponsorship, while the successful candidate will be responsible for their own visa application fees and Immigration Health Surcharge.

Hybrid Working at Arm

Arm promotes a hybrid working model that balances high performance with personal wellbeing. We encourage teams to define their own hybrid working patterns based on their specific needs. Details regarding the hybrid working arrangement will be shared during the application process.

Equal Opportunities at Arm

Arm is an equal opportunity employer, dedicated to fostering a respectful environment where all applicants and employees have equal opportunities, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Degree Requirement: Not Specified

Visa Sponsorship Promising