AI-Driven Digital Implementation Intern

Cadence Design Systems

France

Sur place

EUR 8 900 - 13 000

Plein temps

Il y a 7 jours
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Résumé du poste

Cadence Design Systems in Meylan, France, offers a 6-month internship in Digital implementation. You will start from RTL and, using InnoStack, deliver a complete RTL-to-GDSII flow and fabrication-ready database under close guidance.

The role emphasizes AI-assisted learning, scripting in Python/Tcl, and using Cadence tools to run and optimize steps. Ideal candidates are final-year or master's students in Electronics, fluent in English, curious and autonomous.

Qualifications

  • Final-year Engineering or Master's student in Electronics, Microelectronics or related field.
  • Basic knowledge of digital IC design, RTL, Linux, and scripting (Python/Tcl).
  • Strong interest in semiconductor design, EDA tools, and AI-assisted engineering.
  • Curious, autonomous, and eager to learn complex technical topics independently.
  • Fluent in English.

Responsabilités

  • Learn and execute a complete RTL-to-GDSII implementation flow using InnoStack as the primary guide.
  • Generate scripts, methodologies, and solutions through AI-assisted interactions.
  • Run and optimize implementation stages using Cadence tools.
  • Analyze, diagnose reports and resolve technical issues with InnoStack support.
  • Document best practices, effective prompts, limitations, and lessons learned throughout the project.
  • Maintain an InnoStack Experience Roadbook documenting effective prompts and learning accelerators.

Connaissances

RTL design
Digital IC design
Python/Tcl scripting
Linux
English fluency
Analytical mindset
Teamwork
English

Formation

Final-year Engineering or Master's in Electronics/Microelectronics
Master's student in Electronics/Microelectronics

Outils

Cadence tools
InnoStack
AI-assisted engineering tools

Description du poste

Cadence Design Systems in Meylan, France, offers a 6-month internship in Digital implementation. You will start from RTL and, using InnoStack, deliver a complete RTL-to-GDSII flow and fabrication-ready database under close guidance.

The role emphasizes AI-assisted learning, scripting in Python/Tcl, and using Cadence tools to run and optimize steps. Ideal candidates are final-year or master's students in Electronics, fluent in English, curious and autonomous.

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