Process Development Senior Engineer (Sawing)

OSRAM Opto Semiconductors (Malaysia) Sdn. Bhd., Penang; Bayan Lepas; On-site; MYR 60,000 - 90,000; Full time

Job summary

ams OSRAM Group in Penang seeks a semiconductor process engineer with 2+ years of experience to develop and optimize wafer/die sawing processes. You will lead DOE studies, define robust process windows, and drive improvements in yield, cost, and cycle time across multiple engineering teams.

Role requires hands-on manufacturing experience, familiarity with DMAIC, FMEA, SPC, and Minitab, and strong problem-solving and cross-functional collaboration skills in a fast-paced environment.

Qualifications

• Minimum 2 years of semiconductor process engineering experience.
• Hands-on experience in semiconductor or LED manufacturing processes.
• Familiarity with FOL processes such as sawing, die attach, and wire bond is preferred.
• Experience in Process Development or New Product Introduction (NPI) is an advantage.

Responsibilities

• Develop, qualify, and optimize wafer/die sawing processes to achieve targeted product quality, reliability, and manufacturing performance.
• Conduct process studies and Design of Experiments (DOE) to improve process capability, yield, and overall efficiency.
• Define and maintain robust process parameters and operating windows for stable production.
• Lead process qualification and industrialization activities, supporting the transition from development to high-volume manufacturing.
• Drive continuous improvements in yield, cycle time, equipment utilization, and manufacturing cost.
• Analyze process, yield, and equipment data to identify root causes of technical and quality issues.
• Apply structured problem-solving methodologies such as DMAIC, 8D, FMEA, and Fishbone Analysis to resolve manufacturing challenges.
• Implement corrective and preventive actions to prevent recurring process excursions and defects.
• Utilize statistical tools and methodologies, including SPC, Cp/Cpk analysis, control charts, and trend analysis, to monitor and improve process performance.
• Plan and execute statistically sound experiments to optimize process capability and manufacturing robustness.
• Prepare technical reports, data analysis, and recommendations to support engineering decisions.
• Lead Lean Six Sigma and operational excellence initiatives to improve productivity, reduce waste, and lower manufacturing costs.Collaborate closely with Operations, Equipment Engineering, Quality Engineering, Product Engineering, Reliability Engineering, and R&D teams to resolve technical issues and support new product introductions.
• Support customer audits, technology transfers, benchmarking activities, and cross-site knowledge sharing to promote best practices across the organization.

Skills

Analytical skills

Troubleshooting

Problem-solving

Statistics knowledge

Minitab

MS Office

Cross-functional teamwork

Education

Bachelor’s degree in Engineering

Tools

Minitab

DOE software

Job description

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

• Develop, qualify, and optimize wafer/die sawing processes to achieve targeted product quality, reliability, and manufacturing performance.
• Conduct process studies and Design of Experiments (DOE) to improve process capability, yield, and overall efficiency.
• Define and maintain robust process parameters and operating windows for stable production.
• Lead process qualification and industrialization activities, supporting the transition from development to high-volume manufacturing.
• Drive continuous improvements in yield, cycle time, equipment utilization, and manufacturing cost.
• Analyze process, yield, and equipment data to identify root causes of technical and quality issues.
• Apply structured problem-solving methodologies such as DMAIC, 8D, FMEA, and Fishbone Analysis to resolve manufacturing challenges.
• Implement corrective and preventive actions to prevent recurring process excursions and defects.
• Utilize statistical tools and methodologies, including SPC, Cp/Cpk analysis, control charts, and trend analysis, to monitor and improve process performance.
• Plan and execute statistically sound experiments to optimize process capability and manufacturing robustness.
• Prepare technical reports, data analysis, and recommendations to support engineering decisions.
• Lead Lean Six Sigma and operational excellence initiatives to improve productivity, reduce waste, and lower manufacturing costs.Collaborate closely with Operations, Equipment Engineering, Quality Engineering, Product Engineering, Reliability Engineering, and R&D teams to resolve technical issues and support new product introductions.
• Support customer audits, technology transfers, benchmarking activities, and cross-site knowledge sharing to promote best practices across the organization.

What we look for

• Bachelor’s Degree in Engineering, Materials Science, Physics, or a related field.
• Minimum 2 years of semiconductor process engineering experience.
• Hands-on experience in semiconductor or LED manufacturing processes.
• Knowledge of FOL processes such as sawing, die attach, and wire bond is preferred.
• Experience in Process Development or New Product Introduction (NPI) is an advantage.Strong analytical, troubleshooting, and problem-solving skills.
• Familiarity with statistical analysis, SPC, DOE, and Six Sigma methodologies.
• Proficient in Microsoft Excel, Word, PowerPoint, and Minitab.
• Good communication and teamwork skills in a cross-functional manufacturing environment.