Internship - Data Engineering

Infineon Technologies; Singapore; On-site; SGD 13,000 - 18,000; Part time

Job summary

Infineon Technologies AG in Singapore invites an internship focused on applying AI-based optimization to manufacturing. You will analyze data quality, model performance, and correlation with scheduling efficiency, collaborating with a global team across production and supply chain.

You will gain hands-on experience in semiconductor manufacturing processes, data engineering, and data-driven analytics, culminating in a final technical presentation of outcomes.

Qualifications

• Pursuing or holding a Bachelor's/Master's degree in Industrial Engineering, Mathematics, or Computer Science.
• Experience in problem modeling and data engineering.
• Excellent communication and teamwork in a global setup.
• Strong analytical and problem-solving abilities.
• Internship duration from May 2027 to Dec 2027 (6 months or more).

Responsibilities

• Data & Model Analysis: analyze data quality vs model quality for scheduling.
• Troubleshooting Methodology: digitalize troubleshooting processes for model solutions.
• Documentation & Training: provide docs and training on digital tools.
• Stakeholder Collaboration: work with production, supply chain, and planning.
• Manufacturing Knowledge: understand semiconductor manufacturing and scheduling.
• Data & Model Relationship: study data quality to model performance links.
• Analytical Methods: apply data-driven methods to identify trends.
• Technical Presentation: deliver a final presentation with findings and recommendations.

Skills

Data analysis

Modeling

Data engineering

Communication

Teamwork

Analytical skills

Technical presentation

Stakeholder collaboration

Education

Bachelor's or Master's in Industrial Engineering

Mathematics

Computer Science

Job description

Together with the Digital Manufacturing Solution Vertical Integration Solution global team, you will contribute to enabling Smart Manufacturing (Industry 4.0) by applying AI problem-solving technology (mathematical optimization) on the production floor to control and optimize material flow within manufacturing and the supply chain. The focus area will be Global data quality for scheduling.

Your role

Key responsibilities in your new role

• Data & Model Analysis: Analyze the correlation between data quality and model quality, and identify the key data required for good model quality.
• Troubleshooting Methodology: Digitalize troubleshooting methodologies and processes on model solutions.
• Documentation & Training: Provide documentation and training on digital troubleshooting tools.
• Stakeholder Collaboration: Interface with multi-disciplinary stakeholders such as production, supply chain, industrial engineering, and capacity planning.

  Internship Learning Outcomes:

• Manufacturing Knowledge: Gain a practical understanding of semiconductor manufacturing processes and production scheduling solutions.
• Data & Model Relationship: Understand the relationship between data quality and model performance.
• Analytical Methods: Learn to apply data-driven analytical methods to identify meaningful trends in quality, reliability, and performance.
• Technical Presentation: Deliver a final technical presentation summarizing findings, recommendations, and measurable project outcomes.

Your profile

Qualifications and skills to help you succeed

• Education: Pursuing or holding a Bachelor's/Master's degree in Industrial Engineering, Mathematics, or Computer Science (preferred).
• Technical Experience: Experience in problem modeling and data engineering.
• Communication & Teamwork: Excellent communication and interpersonal skills, able to work both independently and as a team player in a global setup.
• Analytical Skills: Good analytical and problem-solving skills.
• Preferred Commitment:May 2027 - Dec 2027 (6 months or more)

#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