Product Engineer 2 - AI​/Data Science

In your career, let’s prove what’s possible.

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.

Date:
Aug 14, 2026

Location:

Fremont, CA, US, 94538

Worker Category:
On-site Flex

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

Join Lam as a Product Engineer with expertise in Data Science and Advanced Analytics, where you'll combine hands-on semiconductor experimentation with modern analytical methods to solve complex process and hardware challenges.

In this role, you will work directly with process development, technology development, product engineering, and customer escalations. You will design and execute experiments, develop advanced test vehicles, analyze data from multiple sources, and apply statistical and machine learning techniques to identify root causes, optimize processes, and uncover underlying physical mechanisms.

Operating at the intersection of semiconductor engineering, experimental science, and data analytics, you will transform laboratory and field data into actionable insights that improve product performance, accelerate technology development, and support data-driven engineering decisions.

This position is for a Product Engineer with Data Science specialization within the Selective Etch Product Group, part of the Global Products Group, based in Fremont, CA.

Process Development & Engineering

• Perform process engineering research, development, characterization, and evaluation in support of Lam's semiconductor capital equipment and systems.
• Support new technology development, product qualification, and customer deployment activities.
• Design, execute, and analyze experiments to investigate process, hardware, and system-level performance.
• Develop advanced test vehicles and apply systematic problem-solving methodologies to improve product capability and reliability.
• Compile and evaluate experimental data to establish process understanding and engineering recommendations.

Customer Escalations & Root Cause Analysis

• Lead technical investigations associated with customer escalations by combining engineering fundamentals, experimental observations, and advanced analytics.
• Apply statistical analysis, engineering judgment, and structured root-cause methodologies to identify failure mechanisms and drive corrective actions.
• Partner with cross-functional teams to rapidly resolve product and process issues impacting customer performance.

Data Science, AI & Advanced Analytics

• Develop predictive models and data-driven methodologies that improve understanding of process behavior and equipment performance.
• Apply machine learning, artificial intelligence, statistical modeling, and advanced analytics techniques to laboratory, manufacturing, and field data sets.
• Develop analytics tools, automated workflows, and visualization methods that enable…