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Salary
≈ $31k – $64k per year (Estimated)
Location
Hybrid (Singapore)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Aug 5, 2026. Infineon Technologies scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Infineon Technologies is a semiconductor company near Munich that was spun out of Siemens in 1999. It is the world leader in power semiconductors and a major supplier of automotive chips, security controllers and sensors. The company operates fabrication plants in Germany, Austria and Malaysia and is building a large new site in Dresden.

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), as well as 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/

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