Senior Diffusion Engineer - AI-Driven Productivity

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. in Singapore seeks an OCT CPEE Diffusion Engineer to drive process and equipment excellence in the Diffusion area, partnering with Manufacturing, PIE, Yield, MAE, and Global Central Teams to deliver business results.

The role requires strong technical problem-solving, data analysis capabilities, and the ability to influence cross‑functional teams for sustainable improvements in safety, quality, cost, and output.

Qualifications

• Minimum qualifications include a Bachelor's degree in Engineering, Materials Science, Chemical Engineering, Physics, or related technical discipline.
• Strong problem-solving, data analysis, and technical troubleshooting skills are required.
• Excellent written and verbal communication skills are essential.
• Ability to manage multiple priorities and execute projects independently.

Responsibilities

• Drive Diffusion process and equipment performance improvements to support manufacturing objectives.
• Identify and implement opportunities to improve Manufacturing Availability, Utilization, Throughput, WPD, and RPT.
• Lead technical investigations for equipment, process, and yield excursions using structured problem-solving methodologies.
• Develop innovative solutions to improve equipment capability, reliability, and productivity.
• Support Max-Out, Productivity, Everest, WPD, and Cost Reduction initiatives.
• Analyze manufacturing constraints and develop solutions to improve fab output.
• Identify and execute productivity projects that improve cycle time, throughput, and equipment effectiveness.
• Support capacity planning and bottleneck reduction activities.
• Partner with Manufacturing, PIE, Yield, MAE, and Global Central Teams to deliver business objectives.
• Drive alignment across functional teams to implement technical solutions.
• Provide technical recommendations to leadership and stakeholders based on data-driven analysis.
• Work with equipment suppliers to develop and deploy hardware, software, and productivity improvements.
• Benchmark industry best practices and identify opportunities for competitive advantage.
• Utilize data analytics and engineering methodologies to identify improvement opportunities.
• Support technology transfers, process conversions, and new capability implementation.
• Create standard methodologies and best practices for Diffusion operations.
• Share technical knowledge and mentor junior engineers as needed.
• Leverage AI-enabled tools and advanced analytics to accelerate engineering problem solving, improve productivity, and enhance decision-making.
• Utilize Microsoft Copilot and approved enterprise AI platforms to analyze large data sets, generate insights, summarize technical information, and improve engineering efficiency.
• Apply data science, machine learning, and statistical techniques to identify manufacturing improvement opportunities and predict equipment or process performance trends.
• Partner with Digital Transformation and Manufacturing teams to develop and implement AI-driven solutions for excursion detection, predictive maintenance, capacity optimization, and operational excellence.
• Drive adoption of digital engineering best practices, automation, and AI-enabled workflows across the Diffusion organization.
• Ensure responsible use of AI by adhering to Micron's information security, data privacy, and AI governance requirements.

Skills

Problem solving

Data analysis

Technical troubleshooting

Communication skills

Project management

Education

Bachelor's degree in Engineering/Materials Science/ Chemical Engineering/ Physics or related technical discipline

Job description

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. in Singapore seeks an OCT CPEE Diffusion Engineer to drive process and equipment excellence in the Diffusion area, partnering with Manufacturing, PIE, Yield, MAE, and Global Central Teams to deliver business results.

The role requires strong technical problem-solving, data analysis capabilities, and the ability to influence cross‑functional teams for sustainable improvements in safety, quality, cost, and output.