Industrial Engineer

Looking for a career path in the high-tech manufacturing industry? Become part of a team focused on delivering the most exciting semiconductor technology to the world  If you enjoy working with others in a fast pace environment and are looking for an opportunity to grow your career in the high-tech industry, then Tower Semiconductor is the place to be

Tower Semiconductor is a global specialty foundry leader We specialize in manufacturing analog integrated circuits for more than 300 customers worldwide in growing markets such as automotive, medical, industrial, consumer and aerospace and defense, among others.

Automation, system, and database management.

• Collaborate with IT teams to extract and manipulate data from various systems.
• Develop, implement and maintain databases and systems for capacity modeling, operational metrics reporting, and for supporting cost improvement initiatives.
• Develop and maintain comprehensive documentation for data reporting systems and processes.

Performance Reporting & Productivity Improvement

• Collaborate with cross-functional teams to identify opportunities for process optimization and efficiency enhancement.
• Support and drive continuous improvement initiatives.
• Ensure business objectives are being achieved, or identify the reason why they are not.
• Provide input into capacity metrics, utilization, availability, and cycle time expectations.
• Identify equipment and process flow bottlenecks.
• Actively communicate and work with others to improve performance through bottleneck analysis, hands on observations on the manufacturing floor, dispatching methodologies, and team-work.
• Initiate projects to ensure cycle time and capacity requirements are achieved through completion of identified action plans, such as tool install and process qualifications.
• Provide input to, and take guidance from, HQ for loading support, capacity planning, and performance measurement.

Capacity Planning

• Conduct time studies, process flow analysis, and collect/analyze data related to capacity planning.
• Work with others (Production, Engineering, and Equipment) to ensure the capacities are accurately comprehended through thorough investigation and application of traditional planning models and tools.
• Perform capacity modeling, taking ownership of in-house developed models if necessary.

• You can ensure capacities are clearly identified through thorough investigation and application of traditional engineering planning models and tools. 
• You can identify applicable operational metrics to accurately highlight concerns related to the performance of owned area to ensure business objectives are achieved.
• You can maintain inputs to capacity model – units per hours, availability and efficiency.
• You are able to perform and assist in maintenance of capacity model.
• You can perform cycle time modeling requiring a clear understanding of the facility loading and performance.
• You can provide input into capacity metrics, utilization, availability and accurate loading.
• You are able to balance the line through dispatching and bottleneck analysis.
• You can perform impartial performance measurement.
• You can identify and initiate projects to ensure the cycle time and capacity requirements are achieved through completion of identified action plans, such as tool install and process re-qualifications.

• B.S Industrial Engineering, Mechanical Engineering, Systems Engineering or Computer Science degree required.  Master's degree preferred.
• 4 years' experience in manufacturing and operations management techniques.   
• Strong quantitative and advanced analytical skills and project management skills.
• Strong understanding of statistics, data analysis and problem solving methodologies
• Strong programming skills with experience in data extraction and manipulation.
• Expert use of Microsoft Office (Access, Excel, Power Point, Word).
• Proficiency in tools such as Python, R, SQL, or similar programming languages
• VBA and SQL is required.
• Knowledge of Manufacturing Science (scheduling/dispatching, TOC, Lean, Push/Pull system, inventory management, capacity planning, etc.)
• Experience in optimization, tool modeling and performance metrics preferred.
• Previous experience in Semiconductor environment is preferred.
• Knowledge of PROMIS is preferred.

#IND100