Senior Staff Engineer Industrial Engineering

Ams Osram; Kulim; On-site; MYR 180,000 - 240,000; Full time

Job summary

ams OSRAM Opto Semiconductors in Kulim, Malaysia, is seeking an experienced Industrial Engineering leader to optimize production performance. You will guide end-to-end improvement projects, benchmark processes, and drive adoption of productivity standards across multiple fabrication sites.

The role requires a Master in Industrial Engineering or related field, 8+ years in semiconductor frontend manufacturing, and proven ability to lead cross-functional teams, using OEE, IEE, Time & Motion

Qualifications

• Master degree in Industrial Engineering, Physics or related field.
• At least 8 years of working experience in semiconductor frontend manufacturing.
• Proven track record of leading structured equipment performance optimization projects.
• Proven ability to align cross-functional teams and lead structured end-to-end optimization projects.
• Professional Knowledge in Frontend semiconductor manufacturing, equipment and process knowledge, Automation, factory physics and WIP flow analysis, Data analytics and data systems and relevant SEMI standards & Project Management.
• Experience in Power BI, Data Analytics Statistics Knowledge & SPC, Equipment throughput optimization, Strong analytical and problem-solving skills, Understanding and application of a broad range of industrial engineering tools like OEE, IEE, Time Studies etc.
• Collaborate effectively with local teams at fabs in Asia and Europe.
• Strong communication skills in English.

Responsibilities

• Perform regular actual/plan comparisons of critical production parameters like uptime and throughput.
• Proactively identify bottleneck equipment and initiate OEE/IEE improvement projects to maximize production capacity.
• Lead structured equipment optimization projects, identify equipment-internal and external capacity constraints, develop countermeasures and manage the implementation lifecycle.
• Execute benchmarking and golden tool analyses to establish performance baselines and drive the standardization of best-in-class performance standards across all equipment and manufacturing sites.
• Contribute to the continuous improvement and evolution of the Industrial Engineering productivity framework.

Skills

OEE

IEE

Time & Motion Studies

Golden Tool Analysis

Data analytics

Power BI

Cross-functional leadership

Change management

Frontend manufacturing

WIP flow analysis

Education

Master degree in Industrial Engineering

Job description

The ams OSRAM Opto Semiconductors business offers high-performance opto semiconductor components and in-depth support for state-of-the-art system solutions based on innovative semiconductor light sources. The Business Unit can look back on almost fifty years of production and development expertise.

Responsibilities

• Perform regular actual/plan comparisons of critical production parameters like uptime and throughput.
• Proactively identify bottleneck equipment and initiate OEE/IEE improvement projects to maximize production capacity.
• Lead structured equipment optimization projects, identify equipment-internal and external capacity constraints, develop countermeasures and manage the implementation lifecycle.
• Execute benchmarking and golden tool analyses to establish performance baselines and drive the standardization of best-in-class performance standards across all equipment and manufacturing sites.
• Contribute to the continuous improvement and evolution of the Industrial Engineering productivity framework.

Qualifications

• Master degree in Industrial Engineering, Physics or related field.
• At least 8 years of working experience in semiconductor frontend manufacturing.
• Proven track record of leading structured equipment performance optimization projects. Thorough understanding of industrial engineering concepts like OEE, IEE, Time & Motion Studies, Golden Tool Analysis etc.
• Proven ability to align cross-functional teams and lead structured end-to-end optimization projects. Proficient in change management and coaching to secure stakeholder buy-in and ensure the long-term adoption of new productivity standards.
• Professional Knowledge in Frontend semiconductor manufacturing, equipment and process knowledge, Automation, factory physics and WIP flow analysis, Data analytics and data systems and relevant SEMI standards & Project Management.
• Experience in Power BI, Data Analytics Statistics Knowledge & SPC, Equipment throughput optimization, Strong analytical and problem-solving skills, Understanding and application of a broad range of industrial engineering tools like OEE, IEE, Time Studies etc.
• Collaborate effectively with local teams at fabs in Asia and Europe.
• Strong communication skills in English.