Summer 2027 - Process Engineering Intern - DFBU Productivity - MS/PhD

Posted Yesterday
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Tualatin, OR, USA
In-Office
Internship
Semiconductor • Manufacturing
The Role
Process Engineering Interns will improve dielectric deposition tool productivity by running clean-room experiments, analyzing film, metrology, tool, and fleet data, and investigating root causes of downtime and wafer scrap. Interns will apply model-based and machine learning methods, develop productivity improvements and preventive parts-replacement plans, and present technical findings to engineering leadership. The role is designed for MS or PhD students returning to school after the internship.
Summary Generated by Built In
The group you’ll be a part of

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. Within it, the Dielectrics Deposition (DFBU) Productivity organization helps customers get the most from Lam’s deposition tools by raising capacity, reducing downtime and preventing wafer scrap. 

The impact you’ll make

You will help improve the productivity of Lam’s Dielectric Films Deposition products in customer fabs, working with a mentor and experienced engineers to diagnose issues that limit tool throughput and uptime. By summer’s end you will own a defined project and present your results to DFBU leadership. 


Example Summer Projects 

Each intern owns one primary project matched to business needs and background; Ph.D. interns take on larger, more open-ended work. Typical projects include: 


Project 

What you would deliver 

Chamber recovery time reduction 

A study of the steps between maintenance and return to production, with data-backed proposals to shorten recovery and the qualification wafer runs to support them. 

Preventive parts replacement 

A ranked list of high-risk parts with recommended replacement intervals, built from field failure history and part-life data. 

Fleet productivity dashboard 

An automated view of uptime, downtime drivers and chamber matching across a tool fleet, with a short guide for the engineering team. 


What you’ll do
  • Run experiments on dielectric deposition tools in lab and clean-room environments, and analyze film and metrology data 

  • Apply model-based and machine learning approaches to predict and prevent productivity losses 

  • Analyze tool and fleet data (uptime, downtime, chamber recovery) to identify top improvement opportunities 

  • Support root-cause investigations and preventive parts-replacement plans to reduce downtime and wafer scrap 

  • Present findings and recommendations to engineering and leadership in a short technical memo 

Who we’re looking for
  • Must be an M.S. or Ph.D. student (Masters or Doctorate) in Chemistry, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or Materials Science/Engineering with strong academic standing, returning to school after the internship 

  • Strong foundational understanding of physical sciences (Thermodynamics, Physical chemistry) 

  • Strong communication skills to convey project summary and results 

  • Ability to work in a clean-room environment wearing personal protective equipment, clean-room suit or smock 

Preferred qualifications
  • Background in data science or AI/machine learning based process development 

  • Coursework or lab experience in thin films, CVD or plasma processing 

  • Experience with thin film analytical methods (e.g., SEM/TEM, XPS, XRD, ellipsometry) 

  • Familiarity with problem-solving methods such as SPC, DOE, 5-why or 8D 

  • Experience analyzing data with Python, JMP or MATLAB 

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.

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits. 

Skills Required

  • Currently pursuing an M.S. or Ph.D. in Chemistry, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering, Materials Science, or Materials Engineering
  • Strong academic standing
  • Returning to school after the internship
  • Strong foundational understanding of physical sciences, including thermodynamics and physical chemistry
  • Strong communication skills for conveying project summaries and results
  • Ability to work in a clean-room environment while wearing personal protective equipment and clean-room attire
  • Background in data science or AI/machine-learning-based process development
  • Coursework or laboratory experience in thin films, CVD, or plasma processing
  • Experience with thin-film analytical methods such as SEM/TEM, XPS, XRD, or ellipsometry
  • Familiarity with SPC, DOE, 5-Why, or 8D problem-solving methods
  • Experience analyzing data with Python, JMP, or MATLAB

Lam Research Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.

  • Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
  • Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
  • Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.

Lam Research Corporation Insights

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The Company
HQ: Fremont, CA
12,447 Employees
Year Founded: 1980

What We Do

Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/

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