Hiring.Camp

Algorithm Developer

Amat

·

Sep 15, 2026

Apply
Location
Rehovot,ISR, Israel
Type
Full-time
Department
IT
Experience
5+ years
Education
PhD
Source
Workday

Description

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. 


What We Offer


Location:

Rehovot,ISR

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. 

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Job Description: Algorithm Developer

We are looking for a highly talented Algorithm Developer to join our unique product team and help build the next-generation applications and products.

What’s in it for you?

You’ll be part of a team developing advanced algorithms for image processing in the semiconductor industry. This role combines cutting-edge algorithm development with high-performance infrastructure design, enabling efficient data streaming and real-time processing for complex workflows.

Our Group

We are part of the R&D department of a major brand new and exciting Product, responsible for developing the next generation software and algorithm solutions that will power Applied Materials’ cutting-edge metrology and inspection system.

What you'll be doing

  • Design and implement Registration and Scoring algorithms for the Detection domain, including Image to CAD alignment, non‑rigid registration, Defect detection and localization algorithms
  • Build Zero to Low Shot training capabilities and contribute to algorithm flows Usability and robustness
  • Work closely with image processing software engineers to optimize your algorithm and support the fastest inspection tool in the world.
  • Collaborate with architecture and product teams to ensure seamless integration of algorithms, refining requirements and designing scalable solutions that solves customers problems.

What you should have

  • 5+ years of experience in research and development of deep learning and image processing algorithms.
  • M.Sc. or Ph.D. in a relevant engineering field
  • Proven track record of designing and implementing robust, production-ready solutions.
  • Strong attitude to infrastructure development and a collaborative, team-work mindset.

Who we are

Applied Materials Israel is home to the Process Diagnostics and Control business unit (PDC). 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

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

No

Relocation Eligible:

No

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.

Skills

Machine LearningDeep LearningComputer Vision

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