Director of Algorithms Engineering - Physics - San Jose, CA, United States

Originally posted 21 October 2026 by the employer.

Lead physics-based modeling and simulation for SEM image formation, electron-beam interactions, and voltage contrast in e-beam inspection systems.

About the role

ASML is seeking a Director to build and lead a Physics Algorithms Engineering team within its e-beam inspection business. The team develops physical modeling capabilities including SEM image formation, electron-beam interactions, and voltage contrast for semiconductor inspection.

What you'll do

- Recruit, hire, and manage a team of physics and algorithm engineers developing simulation and modeling software. - Establish and execute the technical roadmap for physics-based modeling, SEM image simulation, electron-beam physics, and voltage contrast modeling. - Lead the delivery of production-ready algorithm solutions through software releases supporting high-volume semiconductor manufacturing. - Own the end-to-end lifecycle from requirements definition and technology development to fab deployment and customer support. - Partner with computer vision, machine learning, systems engineering, applications, and product engineering teams to integrate physics models into inspection solutions. - Drive the adoption of AI-enabled software development practices and contribute to the technology strategy for e-beam inspection.

What you'll need

- PhD in Physics, Electrical Engineering, Materials Science, Applied Mathematics, Computer Science, or a related discipline. - 4+ years of engineering management experience leading teams of 5 or more engineers, with experience building and scaling engineering teams. - 10+ years of technical leadership in physics-based modeling, computer vision, machine learning, or related fields. - Deep expertise in physics-based modeling and simulation, including SEM image formation, e-beam interactions, and voltage contrast. - Hands-on background in high-performance computing, GPU acceleration, numerical optimization, and scientific computing. - Proficiency in C++, CUDA, Python, and modern software development practices.

Nice to have

- Experience in the semiconductor industry, including supporting deployments in customer fabs.

Skills: SEM image formation, e-beam inspection, defect detection, CUDA, physics-based modeling