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Director of Algorithms Engineering - Physics

Job in San Jose, Santa Clara County, California, 95173, USA
Listing for: ASML Holding
Full Time position
Listed on 2026-10-23
Job specializations:
  • Engineering
    AI Engineer (Applied/Software)
Job Description & How to Apply Below
ASML / HMI is seeking a Director to build and lead a new Physics Algorithms Engineering team within our e-beam inspection business. This team will develop advanced physical modeling technologies that enhance next-generation semiconductor inspection solutions. You will lead a team responsible for developing simulation and modeling capabilities, including SEM image formation, electron-beam interactions, voltage contrast, and related physics-based methods.

These technologies will support both traditional and AI-driven inspection algorithms, enabling faster innovation and improved defect detection performance for our customers. This is a highly visible leadership role that combines team building, technical strategy, product delivery, and cross-functional collaboration.

Role and responsibilities:

Build and lead a high-performing team Recruit, hire, and develop a world-class team of physics and algorithm engineers

Foster technical excellence, innovation, and a strong engineering culture

Coach and grow future technical and organizational leaders

Deliver customer value

Lead the development and delivery of production-ready algorithm solutions through regular software releases

Own the end-to-end lifecycle, from requirements definition and technology development to deployment and customer support

Ensure solutions meet the performance, quality, and scalability requirements of high-volume semiconductor manufacturing

Drive technical innovation

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 across the organization

Partner closely 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

Education and experience

PhD in Physics, Electrical Engineering, Materials Science, Applied Mathematics, Computer Science, or a related discipline4+ years of engineering management experience leading teams of 5 or more engineers

Demonstrated experience building and scaling engineering teams
10+ years of technical leadership in physics-based modeling, computer vision, machine learning, or related fields

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

Skills

Technical qualifications

Physics-based modeling and simulation, including SEM image formation, e-beam interactions, and voltage contrast

Computer vision and image processing

Machine learning and AIHigh-performance computing, GPU acceleration, and numerical optimizationC++, CUDA, Python, and modern software development practices

Scientific computing and large-scale algorithm development

Personal leadership attributes

Strong technical judgment and strategic thinking

Proven 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 with a track record of delivering impactful solutions

Other information

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 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

The employee is occasionally required to move around the campus

Requires international travel up to 10% international travel, primarily within Asia Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus

The environment generally is moderate in temperature and noise level

Must be able to read and interpret data, information, and documents

Can observe and respond to people and situations and interact with others encountered in the course of work Hybrid work environment with up to two days per week remote

The current base annual salary…
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