AI-Driven ATE Test Intern: Debug & Automation Prototyping

Cadence Design Systems

Valbonne

On-site

EUR 6,700 - 13,000

Full time

7 days ago
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Job summary

Cadence Design Systems in Sophia Antipolis, France, offers a 6‑month internship for final-year engineering students interested in applying AI to semiconductor testing. You will work with the ATE Test team exploring AI and automation to improve test development, debugging, and workflows.

Training and hands-on exposure to post‑silicon test activities are provided. You will develop Python-based tools and AI prototypes, analyze test data, and collaborate with engineers to validate solutions on real

Qualifications

  • Engineering background in electronics, microelectronics, embedded systems, computer science or a related field.
  • Basic programming skills, with Python being a plus.
  • Interest in Artificial Intelligence and data‑driven engineering.
  • Strong curiosity and willingness to learn.
  • Good communication and teamwork skills.

Responsibilities

  • Explore how AI can improve ATE test development and debug workflows.
  • Analyse existing test methods, test programs, logs and results to identify automation opportunities.
  • Develop Python-based tools and AI prototypes to assist engineers during test development and debugging.
  • Investigate methods to automatically detect anomalies or unexpected behaviour in test results.
  • Explore AI-assisted approaches for root cause analysis and troubleshooting.
  • Improve the presentation of test information, debug data and results to engineers.
  • Collaborate with test engineers to validate proposed solutions on real engineering use cases.

Skills

Python
Programming basics

Education

Final-year engineering student

Job description

Cadence Design Systems in Sophia Antipolis, France, offers a 6‑month internship for final-year engineering students interested in applying AI to semiconductor testing. You will work with the ATE Test team exploring AI and automation to improve test development, debugging, and workflows.

Training and hands-on exposure to post‑silicon test activities are provided. You will develop Python-based tools and AI prototypes, analyze test data, and collaborate with engineers to validate solutions on real

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