Principal Data Science / AI Architect

Introduction to the job

ASML brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers – to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States. We are currently recruiting for positions located at our office in San Diego, CA (EUV laser source creation). 

As the world’s leading semiconductor lithography machine manufacturer, ASML enables chip manufacturers to make cheaper, faster, chips, thereby enabling all the technology you use today. The machines we make require high speed, magnetically levitated stages with sub-nanometer accuracy, robotic mask delivery systems, mechatronic devices to shape and correct the laser illumination source, and optical modules that can detect sub-nanometer alignment errors and pattern distortions. Temperature controlled to milli-kelvins, particulate free, and operating in complete vacuum, the technical challenges are endless. Solving these requires expertise in servo controls, mechatronics, mechanical engineering, electrical engineering, embedded software engineering, optics, physics, manufacturing, industrialization, and more. If you like extreme challenges and want to help bring the next generation of technology to the world, then come join ASML.

The EUV Source team in San Diego operates in a fast-paced, uniquely innovative, and challenging environment to deliver new-to-industry products supporting the commercialization of EUV technology by ASML. The Principal Data Science/AI Architect will be part of the EUV Source Performance team within ASML San Diego. Due to high complexity of the EUV light source, we, as Source Performance, are a dedicated team with the mission  to validate and ensure that EUV sources meet or exceed customer performance requirements and expectations. In order to execute this mission, EUV Source Performance acts as the critical enabler of knowledge acquisition and transfer throughout the products development process, via:

• Substantive participation in the technology development and system definition process for products in definition and early development stage.

• Ensuring quality of the module to sub-system to system-level performance testing and validation for the products in integration phase.

• Driving technology improvements enabling new products field release and refinement of system specifications based upon deep understanding of factory and field performance.

• The creation and delivery of analytic tooling, action plans and procedures to drive maximum solving power of our customer support organizations for sustaining products.

The Principal Data Science/AI Architect will be responsible for setting the technical direction of the team responsible for extracting the highest business value possible from the data available and to further refine requirements towards the data engineering team to ensure a rich and complete dataset is available for consumption. This role is a key enabler to further develop the site’s data science and AI competence. In addition to setting the technical direction of the team, this person will also mentor, train, and guide less experienced engineers across a wide variety of data science and AI projects. These projects include physics based model development, machine learning, Gen-AI, reduced order models, and the development of digital twins representing the EUV source, its sub-components, and the factory.

The role requires a willingness to develop a deep understanding across multiple engineering disciplines beyond data science in order to lead the team effectively. To be successful, the candidate must combine strong technical skills, problem solving and numerical analysis skills, and desire for life-long learning. In addition, to be effective in the role, candidates must possess interpersonal skills to cross functional boundaries and to build constructive and effective relationships across the organization and promote cross-functional and cross-sector collaboration.

Role and responsibilities

• Develop a technical roadmap representing the data science and AI activities of the site that supports the product roadmap and aligns with business objectives.

• Oversee the end-to-end AI and data science lifecycle, from data collection and preprocessing to model deployment and monitoring, providing technical leadership and guidance.

• Train, guide, and mentor engineers in the best applications of data sc