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Staff Hardware AI Engineer
Summary by AIEngineer.careers
Staff Hardware AI Engineer is a AI Hardware Engineer role (full-time). with Arm. in VALBONNE, FR. Compensation shown: $129K–$175K (est.). Imported listing (source: careers.arm.com). Apply on the employer's site (careers.arm.com).
Imported listing (source: careers.arm.com) · Apply on careers.arm.com
VALBONNE · FR
$129K–$175K (est.)
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from careers.arm.com
Arm is hiring a Staff Hardware AI Engineer to build AI-enabled automation that improves the efficiency of digital hardware design and verification engineers. The role bridges deep hardware engineering domain knowledge with AI-based tooling, partnering with architects to apply AI-powered tools and techniques at scale. You will prototype and evaluate EDA AI tools, drive adoption across engineering teams, and quantify impact on cycle time and quality.
Responsibilities
- Develop AI-based solutions for hardware design and verification automation
- Curate and develop solutions based on OpenAI Codex skills and tool integrations
- 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 through demos, workshops, onboarding guides, and removing blockers
Requirements
- Hands-on experience with design or verification methodology, including RTL design, testbench and Verification IP interfaces, and debugging compile and simulation issues
- Experience with EDA vendor tooling and domain knowledge of at least one major EDA vendor toolset
- AI tooling fluency: practical experience using AI for engineering automation, prompt design/iteration, structured outputs, and tool use
Arm
Cambridge · GB · 9584+ employees
Arm Holdings plc is a leading semiconductor and software design company that creates central processing unit (CPU) intellectual property (IP), graphics processing units (GPU), and neural processing units (NPU). Its technology forms the foundational compute architecture used globally in smartphones, cloud data centers, automotive systems, and IoT devices.
