Senior Staff Engineer: Digital Twin & APC Solutions

Infineon Technologies AG; Malacca City; On-site; MYR 260,000 - 380,000; Full time

Job summary

Infineon Technologies AG is seeking a Senior Staff Engineer to lead Digital Twin and Advanced Process Control initiatives. You will drive data-driven decision making, predictive maintenance, and scalable smart manufacturing improvements across manufacturing systems.

You will collaborate with Process, Equipment, Quality, IT, and Data teams to deliver high-impact digital solutions. The role emphasizes leadership in self-healing manufacturing, integration with MES and automation platforms, and

Qualifications

• Bachelor's or Master's in Electrical Engineering, Mechatronics, Automation, or related field.
• Minimum 8 years in semiconductor manufacturing, digital manufacturing, or APC/diagnostics.
• Strong knowledge of Digital Twin, APC, FDC, AI/ML-based solutions.

Responsibilities

• Lead development and deployment of Digital Twin, APC, and analytics to improve manufacturing performance.
• Leverage data to drive predictive maintenance and self-healing capabilities.
• Design predictive, adaptive, and closed-loop control strategies using APC and Digital Twins.
• Collaborate with Process, Equipment, Manufacturing, Quality, IT, and Data Engineering teams to deploy scalable solutions.
• Monitor performance, validate models, and drive continuous improvement in yield and throughput.

Skills

Python

Data analytics

AI/ML

Problem solving

Communication

Education

Electrical Engineering

Mechatronics

Data Science

Tools

Python

KNIME

MATLAB

SQL

Job description

Infineon Technologies AG is seeking a Senior Staff Engineer to lead Digital Twin and Advanced Process Control initiatives. You will drive data-driven decision making, predictive maintenance, and scalable smart manufacturing improvements across manufacturing systems.

You will collaborate with Process, Equipment, Quality, IT, and Data teams to deliver high-impact digital solutions. The role emphasizes leadership in self-healing manufacturing, integration with MES and automation platforms, and