Engineer, Process Engineering

The ams OSRAM Group is a global leader in innovative light and sensor solutions. As a specialist in Digital Photonics, we combine technological excellence with state-of-the-art global manufacturing capabilities to offer our customers the broadest portfolio of digital emitter and sensor technologies. Globally, our teams develop groundbreaking solutions aligned with societal megatrends like intelligent mobility, artificial intelligence, augmented reality, smart health, and robotics.

At ams OSRAM, employees are part of a highly innovative, international technology environment. Diverse teams, a high degree of ownership, and exciting challenges provide the opportunity to grow, develop, and make a real difference. Because behind our innovations are people who carry something special inside and who bring their unique strengths to work every day.

Show the world what you are made of.

Your new responsibilities

• Monitor process performance and establish controls to ensure stable production output
• Troubleshoot process-related issues and implement effective corrective actions.
• Provide daily engineering support to manufacturing operations and work closely with Production, Quality, Equipment and Product Engineering
• Analyse yield loss trends and identify root causes using statistical tools
• Investigate customer complaints and internal quality excursions, identify Root cause and Define Corrective and Preventive Actions
• Lead or take part of the cost reduction, cycle time reduction, and productivity improvement projects
• Create and maintain process specifications, work instructions, FMEA, Control Plans, and engineering reports

Who we are looking for

• Bachelor’s degree in engineering (Mechanical, Electronics, Electrical, Manufacturing, Materials, Industrial, or related field)
• Fresh graduates are welcome
• 1–3 years of semiconductor manufacturing experience is an advantage.
• Knowledge of semiconductor backend assembly processes is preferred
• Familiarity with statistical analysis and process control techniques
• Statistical tools: Minitab, JMP, SPC, DOE

Please contact Soi Kim Kee for further information via [email protected] or +65 () 62402395.