Staff AI Engineer for Hardware Design and Verification

Arm

Valbonne

Hybride

EUR 79 000 - 106 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Hybrid work model
Accommodations during recruitment

Résumé du poste

Arm is seeking a Staff Hardware AI Engineer to develop AI-enabled automation for hardware design and verification. You will bridge hardware engineering with AI tooling, partnering with Architects to scale AI-powered solutions across Arm engineering teams.

Join the PE AI team focused on boosting productivity by embedding intelligent workflows into hardware and software projects, and driving adoption through demos and onboarding guides.

Qualifications

  • Deep understanding of RTL design and verification interfaces.
  • Experience with at least one major EDA vendor toolset.
  • Practical experience using AI for engineering automation (prompt design/iteration, structured outputs).
  • Strong problem-solving and cross-team coordination abilities.
  • Clear written communication and ability to turn ambiguity into requirements.

Responsabilités

  • Contribute hands-on toward AI-based solutions for Hardware Design & Verification automation.
  • Develop solutions using OpenAI Codex and tool integrations (e.g., simulation flows, log analysis).
  • Collaborate with Arm Engineering teams to capture real engineering struggles and turn them into requirements.
  • Build quick prototypes and evaluate EDA AI tools to validate feasibility and impact.
  • Lead adoption through demos, workshops, onboarding guides, and removing blockers.

Connaissances

RTL design
Verification IP
Debugging
EDA tooling
AI tooling
Cross-team collaboration

Outils

OpenAI Codex
Python

Description du poste

Arm is seeking a Staff Hardware AI Engineer to develop AI-enabled automation for hardware design and verification. You will bridge hardware engineering with AI tooling, partnering with Architects to scale AI-powered solutions across Arm engineering teams.

Join the PE AI team focused on boosting productivity by embedding intelligent workflows into hardware and software projects, and driving adoption through demos and onboarding guides.

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