Hardware AI Engineer

Role overview

Responsibilities

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

Basic qualifications

• Hands on experience with design 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.

Preferred qualifications

• 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

About the company