Industrial Engineer

SkyWater Technology, Inc.; Austin, Northern (TX, KY); Hybrid; USD 70,000 - 95,000; Full time

Job summary

SkyWater Technology, Inc. Texas is seeking an Industrial Engineer to apply modeling, data analytics, and planning concepts to ensure timely decision making, fab efficiency, and customer satisfaction.

The role will support capacity planning, data automation, manufacturing execution, and strategic planning for the factory. You will use data mining and analytics to communicate information that supports factory decisions, collaborate with cross-functional teams to improve OEE and Cycle Time, own the

Qualifications

• BS in Industrial Engineering or related degree.
• Experience using various modeling techniques, statistical methods and planning tools used in Manufacturing Science and Production Control.
• Ability to lead teams and drive projects to completion.
• Strong Microsoft Office skills.

Responsibilities

• Utilize data mining, analytics, and statistical methods to communicate information that supports factory decision making
• Work with cross-functional teams to improve Overall Equipment Effectiveness (OEE), Cycle Time, and bottleneck tool efficiency
• Own functional area to drive fab improvement projects
• Support Operations by setting factory metrics and prioritizing improvements across all shifts
• Remove operational and tactical constraints in the factory by interacting with on-floor personnel
• Develop and improve business processes that support the Industrial Engineering team

Skills

Data analytics

Statistical methods

Project leadership

MS Office

Education

BS in Industrial Engineering

Tools

ETL software

SQL

Google BigQuery

Oracle

Tableau

Job description

The SkyWater Texas Industrial Engineerwill use various modeling techniques, data analytics tools, statistical methods, and planning concepts to ensure timely decision making, fab efficiency, and customer satisfaction. The Industrial Engineerwill support capacity planning, data automation, manufacturing execution, and strategic planning for the factory.

Key Responsibilities:

• Utilize data mining, analytics, and statistical methods to communicate information that supports factory decision making
• Work with cross-functional teams to improve Overall Equipment Effectiveness (OEE), Cycle Time, and bottleneck tool efficiency
• Own functional area to drive fab improvement projects
• Support Operations by setting factory metrics and prioritizing improvements across all shifts
• Remove operational and tactical constraints in the factory by interacting with on-floor personnel
• Develop and improve business processes that support the Industrial Engineering team

Required Qualifications:

• BS in Industrial Engineering or related degree
• Experience using various modeling techniques, statistical methods and planning tools used in Manufacturing Science and Production Control
• Ability to lead teams and drive projects to completion
• Strong Microsoft Office skills

Preferred Qualifications:

• 1+ years semiconductor experience preferred
• Data Mining & Analytics using ETL software (Extract, Transform, Load) – SQL, APF, Google Big Query, Oracle, etc.
• Experience with Capacity Modeling or functional area ownership to support OEE and Cycle Time improvements
• Experience with Tableau dashboards
• Real Time Dispatching (RTD)