Director of Algorithms Engineering - Physics

ASML•San Jose, CA

4d•Hybrid

About The Position

ASML / HMI is seeking a Director to build and lead a new Physics Algorithms Engineering team within its e-beam inspection business. The team will develop physical modeling technologies that enhance next-generation semiconductor inspection solutions, including simulation and modeling capabilities for SEM image formation, electron-beam interactions, voltage contrast, and related physics-based methods. These capabilities will support traditional and AI-driven inspection algorithms to accelerate innovation and improve defect detection performance for customers. This highly visible leadership role combines team building, technical strategy, product delivery, and cross-functional collaboration. The Director will establish the technology roadmap, deliver production-ready algorithm solutions, and ensure solutions meet the performance, quality, and scalability needs of high-volume semiconductor manufacturing. The role also includes international travel of up to 10%, primarily within Asia, and is performed in a hybrid work environment with up to two remote days per week.

Requirements

PhD in Physics, Electrical Engineering, Materials Science, Applied Mathematics, Computer Science, or a related discipline.
At least 4 years of engineering management experience leading teams of 5 or more engineers.
Demonstrated experience building and scaling engineering teams.
At least 10 years of technical leadership in physics-based modeling, computer vision, machine learning, or related fields.
Technical experience in physics-based modeling and simulation, including SEM image formation, electron-beam interactions, and voltage contrast.
Knowledge of computer vision and image processing, machine learning and AI, high-performance computing, GPU acceleration, and numerical optimization.
Experience with C++, CUDA, Python, and modern software development practices.
Experience with scientific computing and large-scale algorithm development.
Strong technical judgment and strategic thinking; ability to lead through ambiguity and drive execution.
Excellent communication and stakeholder management skills.
Passion for building teams, coaching engineers, and developing talent.
Customer-focused mindset and a track record of delivering impactful solutions.
Ability to travel internationally up to 10%, primarily within Asia.
Ability to meet the stated physical demands, including sitting, walking, speaking, hearing, keyboarding and handling objects, and occasionally moving around campus; specific vision abilities include close vision, color vision, peripheral vision, depth perception, and focus adjustment.
Ability to read and interpret data, information, and documents, and to observe and respond to people and situations.

Nice To Haves

Experience in the semiconductor industry, including supporting deployments in customer fabs, is strongly preferred.

Responsibilities

Build and lead a high-performing team of physics and algorithm engineers; recruit, hire, develop, coach, and grow engineering and organizational leaders.
Foster technical excellence, innovation, and a strong engineering culture.
Lead development and delivery of production-ready algorithm solutions through regular software releases.
Own the end-to-end product lifecycle, from requirements definition and technology development through deployment and customer support.
Ensure solutions meet performance, quality, and scalability requirements for high-volume semiconductor manufacturing.
Establish and execute the roadmap for physics-based modeling technologies.
Advance capabilities in SEM image simulation, electron-beam physics, voltage contrast modeling, and related domains.
Drive adoption of AI-enabled software development practices to improve engineering productivity and velocity.
Collaborate with computer vision, machine learning, and product engineering teams to deliver integrated inspection solutions.
Work with product management, systems engineering, applications, and marketing teams to define priorities and align deliverables.
Contribute to the long-term technology strategy for e-beam inspection.
Perform other duties as assigned or required.