Algorithm Developer - Deep Learning

Reposted 21 Days Ago
Be an Early Applicant
Rehovot, ISR
In-Office
Expert/Leader
Artificial Intelligence • Semiconductor • Manufacturing
The Role
Lead the research, design, and implementation of advanced algorithms for optical wafer inspection tools, focusing on computer vision and deep learning.
Summary Generated by Built In

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. 

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

Algorithm developer 

We are looking for a highly talented Algorithm Developer to join our unique team focused on the development of cutting-edge detection algorithms for the next generation of optical wafer inspection tools. 

What’s in it for you?  

  • Work with the best: Join a team of algorithm masters and researchers who are passionate about solving complex computer vision and deep learning challenges. 
  • Innovate at scale: Contribute to the development of cutting-edge detection algorithms that power the next generation of optical wafer inspection tools. 
  • End-to-end impact: Be involved in the full lifecycle—from concept and feasibility to implementation and integration—of algorithms that directly influence product performance. 
  • Shape the future: Your work will help enable the production of advanced microchips, driving innovation across industries from AI to consumer electronics. 

 

 Our Group:  

We are an elite algorithm research and development group specializing in computer vision and deep learning. Our team is composed of highly skilled algorithm developers and researchers who thrive on pushing technological boundaries. We focus on designing and implementing advanced detection and classification algorithms for optical inspection systems used in semiconductor manufacturing. With a strong emphasis on innovation, collaboration, and technical excellence, we turn complex challenges into impactful solutions that shape the future of chipmaking. 

 

What you'll be doing:  

You will be leading research, design, development, and implementation of algorithmic modules. You will perform algorithmic concepts and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraint. 

  • Understanding computer vision and machine learning / deep learning algorithms for image analysis, image registration, pattern recognition, object detection and classification. 
  • Prototyping algorithms approach solving complex problems and drive integration of new algo solutions to product. 
  • Develop and implement algorithms, support the SW team in integration and evaluation.  
  • Algorithm optimization to reduce computational cost and influence hardware requirements. 

What should you have?  

  • Master’s / Research background- Qualification preferred – Image/ Signal Processing, Computer Vison, Deep Learning.
  • 10+ years of experience and strong background in computer vision, image processing, and DL technology.
  • Expertise in C/C++, Python, and working experience with Pytorch or similar framework.
  • Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills. 
  • Experience working in the Semiconductor industry – an advantage.  

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

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 Required

  • Master's or research background in Image/Signal Processing, Computer Vision, Deep Learning
  • 10+ years of experience in computer vision, image processing, and deep learning
  • Expertise in C/C++, Python, and working experience with Pytorch
  • Excellent analytical, problem-solving, and organizational skills with strong communication skills
  • Experience in the Semiconductor industry

Applied Materials Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Materials and has not been reviewed or approved by Applied Materials.

  • Strong & Reliable Incentives Annual and performance bonuses are often characterized as generous and predictable, with multiple programs (AIP/DBI/SIP) explicitly highlighted. Feedback suggests these incentives meaningfully augment base pay across many roles.
  • Equity Value & Accessibility Restricted Stock Units and an employee stock purchase plan are standard components of offers, and strong stock performance has made equity a notable upside. In some roles, RSUs and refreshers provide a meaningful boost to total compensation.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage, alongside EAP support and on‑site/virtual health centers in key locations, are emphasized as part of a robust package. Benefits typically start on day one, and the breadth of coverage is highlighted as a core strength.

Applied Materials Insights

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The Company
HQ: Santa Clara, CA
23,282 Employees
Year Founded: 1969

What We Do

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.

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