AI-Driven Transistor Design Exploration Internship

NXP Semiconductors; Eindhoven; On-site; EUR 17,000 - 26,000; Full time

Job summary

NXP Semiconductors in Eindhoven is seeking a Master’s student to develop an AI-Agent that leverages internal device exploration tools to compare performance, area, power, and process options.

You will gain exposure to device optimization, design-space exploration, and transistor-level decision support within a global, multicultural team. Proficiency in Python and ML libraries, Linux, and clear communication in English are essential; Git/Jira experience is a plus.

Qualifications

• Enrolled in a Master’s degree in Electronics or Artificial Intelligence (or related fields).
• Proficient with Python language development and experience with ML libraries (e.g. Pandas, NumPy, pyQT).
• Strong analytical, problem solving mindset and willingness to explore complex engineering environments.
• Ability to work independently and communicate results clearly.
• Linux environment (all our development tools are running on this platform).
• Highly developed verbal and written communication skills in English.

Responsibilities

• Develop an AI-Agent to evaluate trade-offs between performance, area, power, and technology options.
• Learn device optimization and design-space exploration to support transistor-level decisions.
• Help establish best-in-class methodologies for NXP design centers worldwide.
• Work in a multicultural, global environment with NXP design organizations across the world.

Skills

Python

Pandas

NumPy

pyQt

Analytical mindset

Independent work

English communication

Linux

Education

Master's degree in Electronics

Master's degree in Artificial Intelligence

Tools

Git

Jira

Job description

NXP Semiconductors in Eindhoven is seeking a Master’s student to develop an AI-Agent that leverages internal device exploration tools to compare performance, area, power, and process options.

You will gain exposure to device optimization, design-space exploration, and transistor-level decision support within a global, multicultural team. Proficiency in Python and ML libraries, Linux, and clear communication in English are essential; Git/Jira experience is a plus.