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Director of Algorithms Engineering - Physics
Job in
San Jose, Santa Clara County, California, 95173, USA
Listed on 2026-10-23
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
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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