Data Persistence Management in Engineering Optimization Workflows Intern - Summer 2026

The Office of the CTO is where innovation takes center stage. We inspire our global technicalcommunity to take on grand challenges, understand emerging trends, identify the criticalinflections, and drive our sustainability, Environment, Social, and Governance (ESG) practicesthat will define the next generation of semiconductors and continued impact.

In this role you will engage with our Semiconductor Process Integration team to help improving and directly influencing the architecture and functionality of our Fabtex Yield Optimization framework. Our goals are to advance the Fabtex platform as a core value proposition to our external customers.

The candidate will work on improving our flagship yield product infrastructure. The product has multi-tier architecture consisting of a) back end for data flow management and data persistence; b) workers framework for design of experiments and optimization algorithms; and c) front-end. The product offers engineering workflows where execution is governed by the back end, and engineering functionality by plugins from the workers framework.

The candidate will work on the data flow management and persistence layer. The engineering workflows are configurable and mutable which requires flexible and adaptable data persistence layer.

Expected tasks for this project:

• Understand and become familiar with Fabtex use cases which represent possible engineering workflow scenarios the product needs to support
• Work on the product's persistent data layer - analyse and update the architecture of the persistent data layer in the backend to accommodate all available engineering workflow scenarios
• As the engineering workflows are built from chaining together solution components, important task would be to design the persistence data layer in a manner, plugin components are commutative within the workflow (e.g. inserting/removing a component would update the functionality of the workflow)
• You will be running engineering workflows use-cases to test and improve architecture and/or implementation

We are looking for highly motivated individuals who are eager to learn and participate in engineering optimization problems applied to the semiconductor industry. The candidate must be willing to take on technical challenges and help identify world-class solutions.

• Currently enrolled BS or MS students in fundamental disciplines: Physics, Computational Physics/Chemistry, Astronomy, Applied Mathematics, Bio-(Physics/Chemistry)
• To have past hands-on experience in creating, supporting or testing simulation models or workflows.
• Practical knowledge and good level of proficiency in developing and writing algorithms in Python
• Good communication skills, team player and ability to work independently
• Available to intern for 12 weeks this summer ideally starting on May 26th, 2026

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.