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Remote New

Lean Manufacturing Manager

Lam Research
United States, New Jersey
Jan 30, 2026
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 activelysupporting the resilient and profitable growth of Lam's business.

Global Operations| Business Operations| Lean Six Sigma

The impact you'll make

Join Lam as a Lean Manufacturing Manager to support continuous improvement initiatives within our Malaysia manufacturing operations. This role focuses on implementing Lean principles & tools, optimizing production processes, and collaborating with cross-functional teams to enhance efficiency, quality, and cost-effectiveness.

What you'll do

Lean Implementation

  • Apply Lean tools such as 5S, Kaizen, Kanban, and Value Stream Mapping to improve manufacturing processes
  • Support workstation standardization and layout optimization
  • Assist in developing visual management systems and performance tracking dashboards
  • Drive operational excellence in Manufacturing through Shingo Model implementation

Process Improvement

  • Identify areas of waste and inefficiency and propose actionable solutions
  • Participate in root cause analysis and corrective action planning
  • Collaborate with engineering and production teams to implement process changes
  • Lead and promote kaizen culture

Training & Support

  • Provide Lean training to operators and team leads
  • Facilitate improvement workshops and Gemba walks
  • Promote a culture of continuous improvement across the site

Data & Quality Collaboration

  • Support data collection and analysis using tools like SAP and MES
  • Work with Quality teams to monitor defect trends and support improvement initiatives
Who we're looking for
  • Minimum Bachelor's degree in Industrial Engineering
  • 5+ years of experience in manufacturing operations preferably in the semiconductor industry
  • Basic proficiency in SAP, MES, or similar systems
  • Strong communication and team collaboration skills
  • Familiarity with Lean tools, Lean management systems, and methodologies
Preferred qualifications
  • Lean Six Sigma Black Belt or equivalent experience preferred
  • Automotive experience or Toyota Production System a plus
  • Experience in Shingo Model assessment and implementation in the Manufacturing environment
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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