📍
Penang, Malaysia

Intern- Quality Engineering

Internship
Technology & Digital
Operations
Posted:
January 26, 2026

Lam Research

Semiconductor manufacturing equipment
75.1
Palpable Score
Apply >view company >

The group you’ll be a part of

Quality Department

The impact you’ll make

Joining our Quality team is an exciting opportunity to contribute to maintaining and improving world-class standards. You will play a key role in supporting quality initiatives, analyzing process performance, and driving continuous improvement across manufacturing and business operations. Your work will help ensure compliance, enhance customer satisfaction, and strengthen our commitment to excellence.

What you’ll do

Who we’re looking for

Preferred qualifications

About the company

Lam Research

Company overview
Lam Research builds semiconductor manufacturing equipment, with a focus on wafer fabrication tools used in processes like etch and deposition. Lam Research also sells software, upgrades, spares, and services that support chipmakers over the life of installed equipment. The company serves major semiconductor manufacturers worldwide and operates across R&D, manufacturing, and field service functions. Lam Research is a public company (Nasdaq: LRCX).

Locations and presence

Lam Research is headquartered in Fremont, California and operates a large U.S. footprint including Oregon (Tualatin, Sherwood, Hillsboro) plus other sites, alongside a broad global network of offices and manufacturing locations. Lam Research job postings describe hybrid models such as “On-site Flex” (3+ days on-site) and “Virtual Flex” for roles that allow more remote work, with expectations set role-by-role.

Palpable Score

75.1
/ 100
Lam Research is an accessible early-career employer for engineers and STEM grads because Lam Research runs internships, co-ops, and a named Graduates Program, backed by structured onboarding and buddy support. Lam Research also has visible pay and benefits signals in job postings and public perks, plus a clear hybrid-work model vocabulary that helps candidates understand what “hybrid” means in practice. The score is capped by limited public detail on interview stages for early-career roles and a lack of published early-career outcomes metrics like conversion, retention, and promotion rates.
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