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Location
Hybrid (Batu Kawan, Malaysia)
Seniority
Middle · 5+ years exp

Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Oct 29, 2026. Lam Research scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Lam Research is an American semiconductor equipment company founded in 1980 that specialises in the deposition and etch steps used to build transistors and memory cells. Its tools are central to three-dimensional NAND manufacturing, where hundreds of layers must be etched through in high aspect ratio channels, and to the atomic layer deposition and selective etch processes required at advanced logic and DRAM nodes. Headquartered in Fremont, California and listed on Nasdaq, it also runs a large installed base business supplying spares, upgrades and service, which smooths the sharp cycles in equipment purchasing.
Backed by Matrix

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 supports logistics and warehouse operations by analyzing, designing and improving processes to increase productivity, capacity, quality, safety and cost efficiency. The role partners with logistics operations to identify improvement opportunities and implement Lean methodologies.

The engineer is expected to independently lead improvement projects, perform detailed data and material-flow analysis, develop warehouse layouts and support logistics systems and automation initiatives.

What you’ll do

Process & Continuous Improvement

  • Analyze receiving, putaway, storage, picking, kitting, packing and material-flow processes.
  • Identify bottlenecks, waste and productivity opportunities.

Warehouse & Material Flow Design

  • Develop and optimize warehouse and manufacturing layouts.
  • Improve material presentation and point-of-use delivery.

Capacity & Productivity

  • Develop capacity and productivity models.
  • Perform manpower and equipment capacity analysis.

Logistics Systems

  • Provide sustaining support for Kanban parts presentation and material replenishment systems.
  • Support WMS/ERP-related process improvements.

Data Analytics

  • Collect, structure and analyze operational data.
  • Use tools such as Excel and Power BI for analysis and visualization. Power BI and broader data analytics skills also appear in the internal higher-level IE description.

Job Responsibilities

Automation & Technology

  • Identify opportunities for warehouse automation such as AMRs/AGVs, ASRS, conveyors, RFID and automated material handling.
  • Participate in equipment/vendor evaluations and implementation.

Project Management

  • Independently lead small-to-medium industrial engineering projects.
  • Coordinate Operations, Supply Chain, Facilities, IT, Maintenance and other stakeholders.

Safety & Ergonomics

  • Incorporate ergonomics and safety into workstation, material-flow and layout designs.
  • Ergonomics and EHS are also explicitly incorporated into the regional IE organization's process and layout requirements.

Who we’re looking for

Education

  • Bachelor's degree in Industrial Engineering or a related engineering discipline. The existing internal description specifies Industrial Engineering as the minimum degree requirement.

Experience

  • 5+ years of industrial engineering, manufacturing or logistics/warehouse experience.
  • Demonstrated experience independently leading improvement projects.
  • Hands-on experience with warehouse/process layout and optimization.

Technical skills

  • Lean Manufacturing
  • Kaizen, Kanban, 5S and Value Stream Mapping
  • Time studies and work measurement
  • Capacity and productivity analysis
  • Material-flow optimization
  • AutoCAD/facility layout
  • Advanced Excel
  • Power BI/data analytics
  • Root-cause analysis
  • Project management

Preferred qualifications

Certifications (preferred)

  • Six Sigma Green Belt or equivalent
  • Experience with warehouse/logistics systems
  • Experience with automation or material-handling systems
  • Strong written and verbal communication
  • Strong project-management capability

Core competencies

  • Analytical problem solving
  • Data-driven decision making
  • Continuous-improvement mindset
  • Hands-on floor engagement
  • Project ownership
  • Cross-functional collaboration
  • Clear communication
  • Results orientation

Working conditions

  • Works in both office and warehouse settings, sometimes on the floor in production areas.

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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