Director of Algorithms Engineering - Physics

ASML US, LP. (US30); San Jose (CA); Hybrid; USD 223,000 - 327,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

ASML US, LP. (US30) seeks a Director to create and lead a new Physics Algorithms Engineering team within its e-beam inspection business.

You will oversee development of physics-based modeling, SEM image formation, and voltage-contrast methods to enable AI-driven inspection and faster defect detection. Responsibilities include recruiting, mentoring engineers, defining technical strategy, and delivering production-ready solutions through regular software releases.

Qualifications

• PhD in a related field with leadership experience.
• 10+ years in technical leadership in physics-based modeling or ML.
• Experience building and scaling engineering teams in semiconductor or related domains.

Responsibilities

• Build and lead a high-performing team.
• Recruit and mentor physics and algorithm engineers.
• Deliver production-ready algorithm solutions with regular software releases.
• Own end-to-end lifecycle from requirements to deployment and support.
• Collaborate with CV, ML, product, and engineering teams to align priorities.

Skills

Physics-based modeling

SEM image formation

e-beam interactions

Voltage contrast modeling

Machine learning

C++

CUDA

Python

High-performance computing

Leadership

Strategic thinking

Education

PhD in Physics

PhD in Electrical Engineering

PhD in Materials Science

PhD in Applied Mathematics

PhD in Computer Science

Tools

CUDA

Python

C++

GPU Acceleration

Job description

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 discipline
• 4+ 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 AI
• High-performance computing, GPU acceleration, and numerical optimization
• C++, 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 range for this role is currently: $223,125-327,250

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.

The Company