Internship - Industrial Engineering

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

Job summary

Infineon Technologies is seeking a motivated intern to contribute to Autonomous Factory and Industry 4.0 initiatives in Singapore. You will collaborate with engineers to analyze manufacturing data, build AI-enabled dashboards, and support digital transformation projects that drive smarter operations.

You will gain hands-on experience with data analytics tools, Python, SQL, and visualization platforms while working with a global, diverse team on real-world Industrial Engineering challenges.

Qualifications

• Pursuing a Bachelor's degree in a relevant engineering or information science field.
• Strong analytical and problem-solving skills with data-driven mindset.
• Effective communication, teamwork, and presentation abilities.
• Willingness to learn and adapt in a fast-changing environment.
• Interest in Industry 4.0, digital transformation, and analytics.

Responsibilities

• Collaborate with Industrial Engineering and manufacturing experts to design data-driven solutions.
• Analyze large-scale production data to uncover insights and support advanced analytics projects.
• Enhance data collection, integration, visualization, and reporting for faster decision-making.
• Support project planning, execution, and stakeholder coordination for digital transformation.
• Present updates, findings and recommendations to engineering teams and management.

Skills

Data analytics

Python

SQL

Power BI

Excel

Communication

Team collaboration

Problem solving

Education

Bachelor's degree in Computer Science, Industrial Engineering, Data Science, Information Systems, or related Engineering discipline

Tools

Python

SQL

Power BI

Tableau

Excel

Job description

As a member of the Industrial Engineering Team, the Intern will work under the guidance of an assigned mentor and collaborate with subject matter experts to support Autonomous Factory and Industry 4.0 initiatives. The role involves contributing to digitalization projects, data analytics, AI-enabled solutions, and process improvement efforts to drive smarter and more efficient manufacturing operations.

Your role

Key responsibilities in your new role

• Cross-Functional Collaboration: Collaborate with Industrial Engineering and manufacturing experts to understand complex operational challenges and design innovative, data-driven solutions that support Autonomous Factory and Industry 4.0 initiatives.
• Data Analysis & Insights: Analyze large-scale production and operational data to uncover insights, identify improvement opportunities, and support the development of advanced analytics, AI-enabled applications, dashboards, and digital solutions.
• Data & Reporting Enhancement: Partner with cross-functional teams to enhance data collection, integration, visualization, and reporting capabilities, enabling faster and more informed decision-making.
• Project Management & Coordination: Support project planning, execution, and stakeholder coordination for digital transformation projects, ensuring timely delivery and alignment with business objectives.
• Communication & Knowledge Transfer: Develop and present project updates, findings, and recommendations to engineering teams and management review platforms, and facilitate user training and knowledge transfer to drive successful solution adoption.

Internship Learning Outcomes

• Applied Digital Experience: Acquire practical experience in leveraging data analytics, AI, and digitalization technologies to address complex manufacturing and operational challenges.
• Industry 4.0 Exposure: Gain exposure to Autonomous Factory and Industry 4.0 concepts, including data-driven decision-making, process automation, and smart manufacturing solutions.
• Technical Skill Development: Enhance technical competencies in data analysis, visualization, automation, and solution development through participation in real-world projects.
• Professional & Soft Skills: Develop professional skills in project management, stakeholder engagement, communication, and presentation.
• Manufacturing Domain Knowledge: Build a strong understanding of manufacturing operations while working in a collaborative and multicultural environment alongside experienced engineering professionals.

Your profile

Qualifications And Skills To Help You Succeed

• Educational Background: Pursuing a Bachelor's degree in Computer Science, Industrial Engineering, Data Science, Information Systems, or a related Engineering discipline.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to evaluate complex datasets, identify trends, and derive actionable insights.
• Communication & Interpersonal Skills: A passion for learning and innovation, coupled with effective communication, interpersonal, and presentation skills.
• Work Ethic & Collaboration: A self‑motivated and proactive mindset, with the ability to work independently while collaborating effectively within cross-functional teams.
• Microsoft Office Proficiency: Proficiency in Microsoft Office applications, particularly Excel (e.g., Pivot Tables, VBA), PowerPoint, and Word.
• Data & Analytics Tools: Familiarity with data visualization and analytics tools (e.g., Tableau, Power BI), and programming languages such as Python and SQL.
• AI & Digital Technologies: Basic knowledge of Artificial Intelligence (AI) concepts and technologies, including Machine Learning (ML), Natural Language Processing (NLP), Robotic Process Automation (RPA), or related digital technologies.
• Industry Interest: Interest in Industry 4.0, Smart Manufacturing, Digital Transformation, Data Analytics, and Autonomous Factory solutions.
• Preferred intake: Jan 27 - May/ June 27.

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.

Hillary Woo

https://www.linkedin.com/in/hillary-woo/