Algorithm Developer II - College Grad; Masters - Santa Clara, CA)

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.

The work we do together advances the world’s technology.

Salary: $ - $

Location:

Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

As an Algorithm Developer Engineer E2, you will contribute to the research and development of computer vision, image analysis, and signal processing algorithms for semiconductor wafer inspection and metrology applications. Working closely with experienced engineers and researchers, you will implement and optimize algorithms that enhance defect detection, classification, and metrology accuracy across Applied Materials' semiconductor inspection and metrology products.

• Research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology applications.
• Conduct benchmarking and validation studies to evaluate algorithm accuracy, robustness, computational efficiency, and overall performance.
• Implement, optimize, and maintain product-quality algorithmic software in Python and C++ for production and deployment.
• Collaborate with software, systems, applications, and compute infrastructure teams to integrate algorithms into production products.
• Document technical findings and communicate results through reports, presentations, and design reviews.

• Recent Master's or Ph.D. graduate in Electrical Engineering, Computer Science, or a related field, with specialization in Computer Vision, Image Processing, Signal Processing, Machine Learning, or related areas.
• Graduate-level coursework in classical and modern computer vision, along with hands‑on project work in image registration, image segmentation, camera calibration, multi‑view geometry, and related image analysis techniques.
• Proficient in Python and/or C++ through research, coursework, internships, or academic projects.

• Experience applying mathematical and statistical methods to formulate and solve engineering problems.
• Experience with image-based deep learning methods for computer vision applications.
• Experience using AI‑assisted coding tools for software development, prototyping, and debugging.
• Publications in leading peer‑reviewed conferences or journals (e.g., CVPR, ICCV, ECCV, ICIP, or similar venues).

• Familiarity with machine learning frameworks such as PyTorch, Tensor Flow, or equivalent tools.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work effectively in a collaborative, cross‑functional engineering environment.

Education:

Master's Degree or Ph.D.

Years of

Experience:

0-2 Years

Work Experience:

New College Graduate