Engineering Intern - AI/ML & Tool Innovation; SABRE Electroplating; Masters/PhD
Listed on 2026-10-05
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Engineering
AI Engineer (Applied/Software)
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.
2027 Engineering Intern - AI/ML & Tool Innovation (SABRE Electroplating) - Masters/PhD (6 months)Date:
Oct 2, 2026
Location:
Tualatin, OR, US, 97062
Worker Category:
On-site
Join the SABRE Process Development team to help shape the next generation of semiconductor electroplating equipment. This is a 6-month internship preferably starting in January 2027.
What you'll doThis role focuses on applying engineering principles, data analytics, machine learning, and automation to improve tool performance, process understanding, and intelligent equipment capabilities. You will work on projects involving tool design concepts, experimental data analysis, predictive modeling, digital twins, machine vision, sensor integration, and AI-driven process optimization.
Who we're looking forThe ideal candidate enjoys solving complex engineering problems, working hands-on with hardware and data, and exploring how AI can transform advanced manufacturing systems.
Preferred qualifications- Pursuing MS or PhD in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Computer Science, Data Science, Robotics, or related field
- Strong engineering fundamentals and problem-solving skills
- Experience with Python, data analytics, machine learning, or computer vision
- Interest in semiconductor equipment, automation, control systems, or digital twins
- Ability to work across hardware, software, and process disciplines
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…
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