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Industrial Engineer 3

Job in Tualatin, Washington County, Oregon, 97062, USA
Listing for: Lam Research Salzburg GmbH
Full Time position
Listed on 2026-09-12
Job specializations:
  • Manufacturing / Production
    Lean Manufacturing / Six Sigma
Salary/Wage Range or Industry Benchmark: 85000 - 120000 USD Yearly USD 85000.00 120000.00 YEAR
Job Description & How to Apply Below

In your career, let’s prove what’s possible.

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date:
Jul 20, 2026

Location:

Tualatin, OR, US, 97062

Worker Category:
On-site

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, work spaces, 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…
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