Intern - Process Engineering 80 – 100% (f/m/d)

Hitachi Energy; Lenzburg; Vor Ort; CHF 20.000 - 27.000; Vollzeit

Zusammenfassung

Hitachi Energy in Lenzburg, Switzerland, invites an engineering intern to transform a Digital Quality Control prototype into a robust production application. You will work on quality checkpoints, process controls, and data-driven improvements within Bipolar Semiconductor processes, gaining exposure to manufacturing workflows, databases, and continuous improvement practices.

You will collaborate with operators, engineers and quality teams to deliver practical software solutions, dashboards and

Qualifikationen

• Degree or training in computer science, software engineering or a related field.
• Experience with Python, C#, or JavaScript.
• Familiarity with SQL databases and data management concepts.
• Interest in digital manufacturing, Industry 4.0 and process automation.
• Strong analytical and problem-solving abilities with a hands-on, proactive mindset.

Aufgaben

• Analyze and enhance the existing Digital Quality Control (DQC) solution for daily manufacturing use.
• Develop user-friendly software features and workflows to improve quality control and efficiency.
• Collaborate with operators, engineers, shift leaders and quality specialists to gather requirements and implement solutions.
• Support integration of manufacturing process controls and quality checkpoints into digital systems.
• Create dashboards, reports, and visualizations to support data-driven decisions.
• Participate in testing, validation, deployment and training for a successful rollout.
• Contribute to documentation and continuous improvement for system reliability.

Kenntnisse

Python

C#

JavaScript

Ausbildung

Computer Science / Software Engineering education

Tools

SQL

Databases

Jobbeschreibung

The opportunity

We are looking for a motivated engineering intern to join the Bipolar Semiconductor Process Engineering team in Lenzburg. The internship offers a unique opportunity to work at the intersection of semiconductor manufacturing, quality engineering, and digital transformation.

The opportunity

We are looking for a motivated engineering intern to join the Bipolar Semiconductor Process Engineering team in Lenzburg. The internship offers a unique opportunity to work at the intersection of semiconductor manufacturing, quality engineering, and digital transformation. The primary objective of this assignment is to transform an existing Digital Quality Control (DQC) prototype into a robust production application that can be used daily by operators and engineers on the Bipolar manufacturing line. The solution will become an integral part of the factory’s quality management system and support the prevention of defects, process deviations, and customer escapes. The DQC initiative builds on ongoing efforts to digitalize quality checkpoints and process controls within the Bipolar semiconductor fabrication environment. This is a hands‑on assignment with direct exposure to semiconductor manufacturing processes, operator workflows, quality assurance systems, database applications, and continuous improvement activities.

How You’ll Make An Impact

• Analyze and enhance the existing Digital Quality Control (DQC) solution to support its transition into daily manufacturing operations
• Develop user-friendly software features and workflows that improve quality control, usability, and operational efficiency
• Collaborate with operators, engineers, shift leaders, and quality specialists to gather requirements and implement practical solutions
• Support the integration of manufacturing process controls and quality checkpoints into digital systems
• Analyze process and quality data, identify trends, and contribute to data-driven improvement initiatives
• Create dashboards, reports, and visualizations to support operational and quality-related decision making
• Participate in testing, validation, deployment, and user training activities to ensure a successful system rollout
• Contribute to technical documentation, work instructions, and continuous improvement efforts that enhance long‑term system reliability and performance

Your background

• Degree, apprenticeship, relevant training, or practical experience in Computer Science, Software Engineering, Data Science, Electrical Engineering, Industrial Engineering, Semiconductor Engineering, Mechatronics, or a related technical field
• Experience with software development using Python, C#, JavaScript, or similar programming languages
• Familiarity with databases, SQL, and data management concepts.
• Understanding of data visualization, reporting tools, and analytical methods
• Knowledge of software testing, debugging, and quality assurance practices
• Interest in digital manufacturing, Industry 4.0, process automation, and continuous improvement
• Strong analytical and problem‑solving skills with a hands‑on and proactive mindset
• Effective communication skills and the ability to collaborate with multidisciplinary teams in a manufacturing environment

More About Us

Our flexible working practices help you optimize personal and business performance while creating an environment where all employees can develop their skills and grow.
Publication date : 2026-09-01