The group you’ll be a part of

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

The impact you’ll make

The Industrial Engineer 3 will work to improve factory performance through data-driven analysis, decision support, and continuous improvement initiatives. Your work will influence manufacturing capacity, labor productivity, factory layout strategy, operational visibility, and key business decisions.

What you’ll do

• Analyze manufacturing data to identify trends, constraints, and opportunities for improvement.
• Create dashboards, visualizations, and reporting solutions that support operational decision-making.
• Develop and support Power BI dashboards, workspaces, and reporting solutions.
• Develop and maintain capacity models, labor analyses, forecasts, and reporting tools.
• Develop and maintain factory layout solutions that support manufacturing flow, capacity, space utilization, densification efforts, and operational efficiency.
• Aggregate, cleanse, and validate data from manufacturing systems and databases.
• Support labor standards development, productivity improvement, and capacity planning activities.
• Support new product introductions, product transitions, and manufacturing optimization initiatives.
• Partner with local and global stakeholders to drive continuous improvement and standardization efforts.
• Communicate analytical findings and recommendations to stakeholders across the organization.

Who we’re looking for

We are looking for a collaborative problem solver who enjoys working with data, understands manufacturing operations, and is passionate about continuous improvement. The ideal candidate can translate complex data into actionable insights and thrives in a fast-paced manufacturing environment.

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Operations, Supply Chain with 5 year’s related experience; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
• Strong analytical and problem-solving skills.
• Experience working with manufacturing data and operational metrics.
• Experience with Power BI, SQL, and Microsoft Excel.
• Strong written and verbal communication skills.
• Experience with Python or analytics automation toolls; experience with Microsoft Fabric or modern data analytics platforms.
• Experience administering and supporting Power BI workspaces and reporting environments.
• Experience with capacity planning, labor analysis, forecasting, and resource modeling.
• Experience with factory layout planning, space utilization, densification efforts, and AutoCAD.
• Experience in semiconductor or other high-tech manufacturing environments.
• Knowledge of Lean Manufacturing and continuous improvement methodologies.
• Experience supporting cross-functional or global teams.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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