Internship - Data Engineering

Infineon; Western Australia; On-site; AUD 20,000 - 31,000; Full time

Job summary

Infineon is offering an internship focusing on smart manufacturing and AI-driven optimization to improve material flow on the production floor. You will learn through hands-on analysis of data quality, model performance, and scheduling solutions within a global semiconductor context.

Gain practical experience in semiconductor manufacturing processes, data-driven analytics, and communicating findings. The role includes collaboration with multi-disciplinary teams and a final technical presentation

Qualifications

• Pursuing or holding a Bachelor’s or Master’s degree in Industrial Engineering, Mathematics, or Computer Science (preferred).
• Experience in problem modeling and data engineering is a plus.
• Excellent communication and interpersonal skills in a global setup.
• Strong analytical and problem-solving abilities.

Responsibilities

• Analyze data quality vs model quality and identify key data for model performance.
• Digitalize troubleshooting methodologies and processes for model solutions.
• Provide documentation and training on digital troubleshooting tools.
• Interface with production, supply chain, industrial engineering, and capacity planning stakeholders.

Skills

Data modeling

Data engineering

Communication

Teamwork

Analytical skills

Education

Bachelor's / Master's in Industrial Engineering, Mathematics, or 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