Who We Are

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. 

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We are looking for a talented Algorithm Research Engineer with a strong mathematical and analytical background to join our 3D Metrology Algorithms team. Our group is focused on developing innovative algorithms for semiconductor metrology applications, combining advanced research in computer vision, machine learning, signal processing, and physics-based modeling to solve complex real-world challenges.

About Us

Our team develops next-generation 3D metrology algorithms that enable accurate measurement and analysis of semiconductor structures. We combine cutting-edge research with practical implementation, creating innovative solutions that have a direct impact on the semiconductor manufacturing industry.

What’s in it for you?

• Join a world-class team working on highly innovative technologies in the semiconductor industry.

• Solve challenging problems that require deep mathematical thinking and multidisciplinary expertise.

• Work at the intersection of computer vision, machine learning, signal processing, and physics.

• Participate in the development of breakthrough metrology solutions that shape the next generation of semiconductor devices.

• Enjoy a collaborative, creative, and research-driven environment.

What You'll Be Doing

• Research, design, and develop advanced algorithms for 3D metrology applications.

• Develop and implement solutions in the fields of Computer Vision, Machine Learning, and 3D structure deconvolution.

• Build statistical and probabilistic models, including performance analysis and error-bounds estimation.

• Analyze complex datasets and signals to improve measurement accuracy and robustness.

• Collaborate closely with multidisciplinary teams including physicists, system engineers, and software developers.

• Drive algorithm research from concept to implementation and validation.

What You Should Have

• M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related quantitative field.

• Strong analytical and mathematical skills.

• Experience in Computer Vision, including image registration and segmentation.

• Solid background in Signal Processing and Estimation Theory, including statistical modeling and Maximum Likelihood estimation.

• Experience with Machine Learning algorithms, optimization techniques, and performance analysis.

• Strong programming and algorithm development capabilities.

• Fast learner with a research-oriented mindset and strong problem-solving skills.

• Experience with SEM imaging and semiconductor metrology applications is an advantage.

Our Group

Patterning Division

Who We Are?

Applied Materials Israel is home to the Process Diagnostics and Control (PDC) business unit. Based in Rehovot, we develop, manufacture, and market cutting-edge machine learning and computer vision-based metrology and inspection products that are essential elements in wafer fabrication. By playing a significant role in enabling the production of the next generation of microchips, our expertise enables our customers to transform possibilities into reality.

Additional Information

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Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.