Senior Algorithms Tech Lead

Posted 5 Hours Ago
Be an Early Applicant
Rehovot, ISR
In-Office
Senior level
Artificial Intelligence • Semiconductor • Manufacturing
The Role
Lead end-to-end computer vision and deep learning algorithm flows for semiconductor eBeam metrology products. Guide algorithm developers, conduct applied research, define evaluation metrics, compare approaches, and ensure precision, accuracy, runtime, and memory performance. Drive Python-to-C++ production integration, testing, documentation, and customer deployment while collaborating with applications, product, field, and fab engineering teams.
Summary Generated by Built In

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. 

We are looking for a Senior Algorithms Tech Lead in the fields of Computer Vision and Deep Learning. Our PROVision algorithm team does applied research to reach state-of-the-art performance and build ground-breaking eBeam metrology products for PDC and the wider semiconductor industry.

 

About us:
We develop innovative machine learning, computer vision and image processing solutions for eBeam metrology. Our algorithms run on the tool itself, inside the wafer scan, and are used by leading chipmakers worldwide. Our team does applied research to go beyond the state of the art and turn it into products that make an impact on the industry as a whole.

 

What’s in it for you?

  • Join a world-class team focused on innovative, cutting-edge research and development.
  • Own a major algorithmic flow from the first concept all the way to the customer’s fab.
  • Lead and grow a team of strong algorithm developers.
  • Work on high-impact applications, solving challenging and diverse problems.
  • Enjoy a friendly, creative and collaborative environment.

 

What You’ll Be Doing?

  • Own a major PROVision measurement or image-processing flow end to end, through research, design, development, validation and proliferation. Examples include CD and overlay measurement, contour extraction and segmentation, image quality, distortion and drift correction, denoising, and defect-sensitive metrology.
  • Provide professional and technical leadership to the developers working on the flow. That means setting direction, writing and maintaining the work plan, reviewing code and results, and holding the team to a high standard of experiment hygiene and reproducibility.
  • Stay hands-on: lead concept and feasibility work, compare candidate approaches on precision, accuracy, runtime and memory, and design for the tool’s real operating constraints from day one.
  • Define the metrics the flow is judged on (precision, accuracy, tool-to-tool matching, robustness across layers and customers) and build the evaluation sets and test harnesses that measure them.
  • Drive the hand-over into the product. This covers Python-to-C++ parity, testing, integration into the recipe flow, and documentation and BKMs for the field.
  • Work directly with applications, product, field and customer fab engineers to analyze gaps, collect data, and support integration and proliferation at customer sites.
  • Evaluate new technologies and published work, and turn the relevant ideas into concrete proposals for our flows.

 

What You Should Have?

  • M.Sc. (or above) in exact sciences. Ph.D. – an advantage.
  • 4+ years of hands-on algorithm development in Computer Vision, Machine Learning and Deep Learning, with extensive coding in Python.
  • Strong algorithmic and technical background, with a proven track record of taking algorithms from research to production.
  • Proven experience in professional or technical leadership, such as guiding other engineers, setting technical direction, or owning a major module or project. A formal Tech Lead title is not required.
  • Ability to work independently on complex, open-ended problems, with a broad perspective and an innovative, “can do” approach.
  • Strong communication skills and experience working with internal and external customers.
  • Fast learner with strong autodidactic capabilities.
  • Advantages: experience in semiconductor, metrology or inspection; C++; algorithms for runtime-constrained or CPU-only environments; multidisciplinary products.

 

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 metrology and inspection products based on machine learning and computer vision. These products are essential elements in wafer fabrication. We play a significant role in enabling the production of the next generation of microchips, and our expertise helps our customers turn possibilities into reality.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 20% 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

  • M.Sc. or above in exact sciences
  • 4+ years of hands-on algorithm development in computer vision, machine learning, and deep learning
  • Extensive coding experience in Python
  • Strong algorithmic and technical background
  • Proven track record taking algorithms from research to production
  • Professional or technical leadership experience
  • Ability to work independently on complex, open-ended problems
  • Strong communication skills and experience working with internal and external customers
  • Fast learning and strong autodidactic capabilities
  • Ph.D.
  • Experience in semiconductor, metrology, or inspection
  • C++ experience
  • Experience developing algorithms for runtime-constrained or CPU-only environments
  • Experience with multidisciplinary products

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.

  • Healthcare Strength — Company materials emphasize comprehensive medical, dental, vision, mental health, and wellness programs for employees and families, with coverage beginning on day one in many cases. On-site or virtual care options at major campuses further reinforce the breadth of support.
  • Leave & Time Off Breadth — Exempt employees are offered a Flexible Time Off program and U.S. teams observe 11 paid company holidays. These policies are consistently highlighted across official benefits summaries.
  • Equity Value & Accessibility — An Employee Stock Purchase Plan is widely available and presented as a core part of the U.S. package, alongside equity grants in many roles. These ownership elements are positioned as meaningful contributors to total rewards.

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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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