Business Line Description:
NXP’s Front End Operations plays an essential role in the company’s success by ensuring the delivery of high quality, scalable, cost-competitive technologies and supply to create a winning advantage for our customers.
Job Summary:
The Industrial Engineer is responsible for multiple processes in a high-volume manufacturing facility. The position requires giving strategic guidance and solutions to other parts of operations. This can vary from Engineering, Operations, Supply Chain to manufacturing IT.

Responsibilities may include:

• Partnering with Area teams to understand area operations, identify improvement opportunities and develop solutions to meet Area Safety, Quality, Delivery and Cost Goals.
• Project Management, drive structural improvements with a PMO approach
• Establish and maintain accurate area production management systems to enhance ongoing operations (Capacity Modelling, RTD Dispatch, Fab Scheduling, Forecasting etc., as well as supporting business processes.)
• Improving operational efficiency of factory equipment (OEE) resulting in improved cycle-time and/or increased factory capacity with minimal capital and/or operational investments.
• Improving labor productivity through the development/deployment of best known methods and Lean Manufacturing principles.
• Effectively communicate business objectives to the area teams. Provide goals and forecasts with clear linkage to factory objectives.
• Strategic capacity planning – both equipment and staffing.
• Collaborating with peers in Chandler AZ, Austin TX, and Nijmegen, The Netherlands to ensure consistent approach.
• Defining requirements, business processes and completing user acceptance testing of various IE systems supported by the Manufacturing IT organization for both internal and external software solutions.
• AI/ML, GenAI and LLM applications for operations

Individual should have the following attributes:

• Strong analytical and creative thinking skills for effective decision-making.
• Strong data analysis skills – to include working knowledge of statistics, SPC, ANOVA, comparative methods, and DOE. Experience through JMP, Minitab or similar
• Strong communication skills – oral, written, and presentation.
• Strong / Expert knowledge of M365 products including Copilot
• Complex problem solving skills, Lean/Six Sigma methodologies
• Solid business acumen.
• Strong inter-personal skills and ability to motivate team members.
• Strong computer application programming experience such as Python ,R, or C++, SQL and some Business Intelligence (BI) experience such as Tableau, Power BI
• Databricks experience is advantageous but not required
• Willing and able to wear a cleanroom suit, working in a clean room environment

Education & Experience:

• BS or higher in Industrial Engineering. Advanced MS degree preferred. Other degrees may be considered.
• 1-2 year experience in semiconductor-related work in Engineering (IT, Device, Equip, Process, or Industrial) is advantageous but not required.
• Experience in deploying Lean principles and methods is advantageous.

More information about NXP in the United States…
NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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• Partnering with Area teams to understand area operations, identify improvement opportunities and develop solutions to meet Area Safety, Quality, Delivery and Cost Goals.
• Project Management, drive structural improvements with a PMO approach
• Establish and maintain accurate area production management systems to enhance ongoing operations (Capacity Modelling, RTD Dispatch, Fab Scheduling, Forecasting etc., as well as supporting business processes.)
• Improving operational efficiency of factory equipment (OEE) resulting in improved cycle-time and/or increased factory capacity with minimal capital and/or operational investments.
• Improving labor productivity through the development/deployment of best known methods and Lean Manufacturing principles.
• Effectively communicate business objectives to the area teams. Provide goals and forecasts with clear linkage to factory objectives.
• Strategic capacity planning – both equipment and staffing.
• Collaborating with peers in Chandler AZ, Austin TX, and Nijmegen, The Netherlands to ensure consistent approach.
• Defining requirements, business processes and completing user acceptance testing of various IE systems supported by the Manufacturing IT organization for both internal and external software solutions.
• AI/ML, GenAI and LLM applications for operation