Introduction

ASML US, including its affiliates and subsidiaries, bring 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, Netherlands, and we have 18 office locations around the United States including main offices inChandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

Job Mission

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 Data Science/AI Engineer 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 Data Science/AI Engineer will be an individual contributor on a team responsible for extracting the highest business value possible from the data available. This person will also refine requirements towards the data engineering team to ensure a rich and complete dataset is available for consumption and may be required to execute some data engineering work themselves. This role is part of a team aiming to further develop the site's data science and AI competence. The person in this role will be responsible for executing the data science and AI work needed to further advance ASML's capability to learn quickly and advise product changes that benefit the overall performance of the EUV light source. 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 be effective. 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.

• Contribute towards the technical roadmap representing the data science and AI activities of the site that supports the product roadmap and aligns with business objectives
• Participate in the end-to-end AI and data science lifecycle, from data collection and preprocessing to model deployment and monitoring. Collaborate with other engineers in the best applications of data science solutions for various complex problems we are trying to resolve.
• Apply theoretical models, concepts, methods, and novel experimental techniques to quantitatively interpret performance of EUV source systems across a wide range of issues and multiple technical disciplines.
• Produce clear, concise technical documentation in defined company formats, present results and align with cross-functional teams.
• Work closely with cross-functional groups (systems engineering, development engineering, scientists, IT, global customer support personnel, manufacturing personnel, senior management, marketing, external customers) to set clear technical direction and achievable milestones.
• Travel as required to both customer sites and other ASML sites for the purposes of reporting, alignment, and collaboration.
• Complete service, expense reports, and other administrative responsibilities in accordance with ASML's procedures and with supervisor's approval.
• Other duties as assigned.

• MS in Computer Science, Data Science, or Machine Learning. PhD preferred. Candidates with a degree in Physics that have specialized their careers in data science will also be considered.
• Must have a minimum of 3 years' experience in a similar role.
• Experience in the semiconductor industry a plus.

• Must have significant experience working in the following cloud and development environments: Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Apache Spark, Azure Databricks, Python, MATLAB, and related technologies. Additionally, proficiency with MLFlow for managing the end-to-end machine learning lifecycle, including experimentation, reproducibility, and deployment, is required.
• The ideal candidate will have extensive experience in designing and implementing machine learning and deep learning architectures. This includes:
  • Developing and optimizing neural network architectures using frameworks such as TensorFlow and PyTorch.
  • Implementing scalable machine learning models and algorithms in a cloud-based environment.
  • Experience with Natural Language Processing (NLP), Computer Vision, and other AI domains.
  • Knowledge of model deployment and serving strategies, including the use of ization technologies such as Docker and Kubernetes.
  • Proficiency in using GPU and TPU hardware accelerators for deep learning training and inference.
  • Experience in monitoring and maintaining the performance of deployed models to ensure they meet business and technical requirements."
• Understanding of the concept of large complex system integration and practices.
• Understanding of the concepts of optics and lasers, plasma generation, and control systems.
• Excellent analytical and troubleshooting skills.
• Excellent inter-personal and customer service skills, with an advanced understanding of customer relationship building.
• Excellent written and verbal communication skills.
• Ability to reduce large amounts of data, create a concise summary, and effectively report results through written and/or graphical formats.
• Ability to define and execute tasks based on project descriptions with minimum or no supervision.

Other Information

• This position is located in San Diego, CA. It works on a hybrid schedule of 3 days onsite/2 days remote. It requires onsite presence to attend in-person work-related events, trainings and meetings and to further ensure teamwork, collaboration and innovation.

• Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. Occasionally required to move around the campus.
• Occasionally lift and/or move up to 20 pounds.
• Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

• Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses and gloves for entire duration of shift.
• While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.

EOE AA M/F/Veteran/Disability

Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check band any other tests that may be required.

#LI-MO1

Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

Need to know more about applying for a job at ASML? Read our frequently asked questions.

ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHRServiceCenter@asml.com to initiate the company's reasonable accommodation process.

Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.