Senior Staff Engineer Digital Twin Equipment & Process

Infineon Technologies

Malacca

Vor Ort

INR 2.000.000 - 2.800.000

Vollzeit

14 Tage+

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Zusammenfassung

Infineon Technologies AG is seeking a Senior Staff Engineer to lead Digital Twin and Advanced Process Control initiatives across semiconductor manufacturing. You will leverage data from equipment, process, and quality sources to drive predictive maintenance and self-healing capabilities, while collaborating with diverse teams to deploy scalable, high-impact solutions.

You will design and deploy predictive analytics and closed-loop control strategies, integrate with MES and automation platforms,

Qualifikationen

  • Bachelor's or Master's degree in a relevant engineering or science field.
  • 8+ years of experience in semiconductor manufacturing, digital manufacturing, process engineering or APC.
  • Strong knowledge of Digital Twin, APC, FDC, and analytics solutions.
  • Experience with data-driven optimization and continuous improvement methodologies.
  • Proficiency in Python, SQL, KNIME, or MATLAB for data analytics and automation.

Aufgaben

  • Lead development and deployment of Digital Twin, APC, and analytics to improve manufacturing performance.
  • Drive data-driven decision making using equipment, process, and quality data.
  • Design predictive, adaptive, and closed-loop control strategies using APC and Digital Twins.
  • Develop self-healing manufacturing capabilities via automated detection, diagnosis, and correction.
  • Integrate Digital Twin and analytics with MES, APC, FDC, and automation platforms.
  • Collaborate with Process, Equipment, Manufacturing, Quality, IT, and Data Engineering teams.
  • Monitor performance, validate models, and drive continuous yield and throughput improvements.
  • Head or participate in digitalization and smart manufacturing projects from concept to deployment.

Kenntnisse

Semiconductor manufacturing expertise
Digital Twin
Advanced Process Control (APC)
Data analytics
AI/ML applications
Statistical analysis

Ausbildung

Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Automation Engineering, Materials Science, Physics, Computer Science, Data Science, or related field

Tools

Python
SQL
KNIME
MATLAB

Jobbeschreibung

#WeAreIn for jobs that impact everyone's life. Join the thinkers, builders, and problem-solvers behind tomorrow’s technology.

As a Senior Staff Engineer Digital Twin Equipment & Process, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in?

Key responsibilities in your new role
  • lead the development and deployment of Digital Twin, Advanced Process Control (APC), and advanced analytics solutions to enhance manufacturing performance, process stability, and operational excellence.
  • leverage equipment, process, and quality data to drive data-driven decision-making, implement predictive and self-healing manufacturing capabilities, and collaborate with cross-functional teams to deliver scalable smart manufacturing solutions that improve yield, quality, throughput, and equipment effectiveness.
  • Develop and deploy Digital Twin and APC solutions to improve manufacturing performance and process stability.
  • Analyze equipment, process, and quality data to identify improvement opportunities and support data-driven decision making.
  • Design predictive, adaptive, and closed-loop control strategies using APC, Digital Twins, FDC, and advanced analytics.
  • Lead the team in the development of self-healing manufacturing capabilities through automated detection, diagnosis, and correction of process deviations.
  • Integrate Digital Twin and analytics solutions with manufacturing systems, including MES, APC, FDC, maintenance, and automation platforms.
  • Lead or collaborate with Process, Equipment, Manufacturing, Quality, Automation, IT, and Data Engineering teams to develop and implement scalable solutions.
  • Monitor solution performance, validate models, and drive continuous improvement in yield, throughput, cycle time, quality, and equipment effectiveness.
  • Lead or participate in digitalization, smart manufacturing, and continuous improvement projects from concept through deployment.
  • Evaluate and adopt emerging technologies to enhance factory productivity, reliability, and operational excellence.
Your profile

Qualifications and skills to help you succeed: You strive to apply your expertise in semiconductor manufacturing, digitalization, advanced process control, and data analytics to drive process optimization, equipment reliability, and operational excellence. You excel in leveraging Digital Twin, APC, FDC, predictive maintenance, and AI/ML-driven solutions while collaborating with cross-functional teams to deliver scalable improvements in productivity, quality, and manufacturing performance.

  • Bachelor's or Master's Degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Automation Engineering, Materials Science, Physics, Computer Science, Data Science, or a related field.
  • Minimum 8 years of experience in semiconductor manufacturing, digital manufacturing, process engineering, equipment engineering, Advanced Process Control (APC), equipment reliability, or related fields.
  • Good understanding of semiconductor backend assembly and test processes, including die attach, wire bonding, and molding.
  • Experience in Digital Twin, APC, Fault Detection & Classification (FDC), equipment monitoring, predictive maintenance, and manufacturing analytics solutions.
  • Knowledge of process control, statistical analysis, data-driven optimization, AI/ML applications, and continuous improvement methodologies such as Lean Six Sigma and DMAIC.
  • Proficiency in Python, SQL, KNIME, MATLAB, or similar tools for data analytics, ETL, model development, and automation.
  • Familiarity with semiconductor equipment communication standards (SECS/GEM, EDA), industrial automation, Industrial IoT (IIoT), equipment integration, and factory systems.
  • Strong analytical, problem-solving, project management, communication, and stakeholder management skills, with the ability to work effectively in cross-functional teams.

#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.

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