Internship - Chip Verification

Infineon; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Infineon invites you to join its AI and semiconductor verification internship in Singapore. You will work with experienced verification engineers on real production-relevant challenges, helping build verification methodologies, infrastructure, and AI-enabled test generation.

You will gain hands-on experience with industry-standard verification practices, collaborate with peers on real chip development issues, and explore AI integration across chip design and verification.

Qualifications

• Pursuing a Bachelor's degree in Electrical & Electronic, Materials Science, Mechanical or Computer Engineering.
• Strong scripting and programming skills.
• Interest in digital design and verification, including AI-enabled methods.

Responsibilities

• Develop and improve verification methodologies, flows, and automation for modern chip designs.
• Build scalable infrastructure and tooling to support AI-enabled project development.
• Explore how AI and machine learning can speed up verification, e.g. smarter test generation and coverage closure.
• Contribute to solutions used by project teams.

Skills

Scripting & programming

Python

SystemVerilog/UVM

ML exposure

Motivation to learn

Education

Bachelor's degree in Electrical & Electronic Engineering

Bachelor's degree in Materials Science

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Computer Engineering

Tools

SystemVerilog/UVM

Python

ML

Job description

AI and semiconductor design - In this internship, you will help build the chip verification methodology and infrastructure that powers the next generation of AI-enabled chip development. You will work alongside experienced verification engineers on real, production-relevant challenges.

Your role Key responsibilities in your new role

• Verification Methodology: Develop and improve verification methodologies, flows, and automation for modern chip designs.
• Infrastructure & Tooling: Build scalable infrastructure and tooling to support AI-enabled project development.
• AI/ML for Verification: Explore how AI and machine learning can speed up verification, for example through smarter test generation, coverage closure, and debug.
• Solution Delivery: Contribute to solutions that will be used by project teams

Internship Learning Outcomes:

• Industry-Standard Practices: Gain hands-on experience with industry-standard verification practices and tools.
• Team Collaboration & Problem Solving: Interact with team members and learn how problems are solved on real chip development issues.
• AI Integration: Gain insight into productive AI integration across chip design and verification. This suits a Master's student who is curious about these areas.
• Engineering Efficiency: Obtain hands-on experience applying engineering knowledge to enhance team efficiency and effectiveness through AI automation.

Your profile Qualifications and skills to help you succeed

• Education: On track to attain a Bachelor's degree in Electrical & Electronic, Material Science, Mechanical, or Computer Engineering, with a research-oriented mindset.
• Scripting & Programming: Strong skills and interest in scripting and programming.
• Technical Background (Plus): Prior exposure to digital design, SystemVerilog/UVM, Python, or ML is a plus.
• Motivation: Enthusiasm and a drive to learn.
• Availability: Available from Mar-Aug 2027.

WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone.

We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Please let your recruiter know if you need any accommodations during the interview process.

Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Lau Yu Qin