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 help…
Skills: Computer Vision, Deep Learning, Machine Learning, Python, Algorithm Development
Quantum Source Labs Ltd
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Rehovot, Center District, Israel · On-site
Senior
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Nova Ltd.
System Engineer
Rehovot, Center District, Israel · On-site
Mid level$841M raised
What we are looking for: Nova Systems Group is looking for a Systems Engineer to join the Integrated Metrology team, a multidisciplinary group of physicists and engineers working together to implement cutting-edge metrol…
Skills: Systems Engineering, Python, MATLAB, Root-Cause Analysis, System Calibration
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 help…
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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 help…
Skills: DevOps, CI/CD, Infrastructure As Code, Cloud Computing, Containerization
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 help…
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 help…
We are looking for an exceptional experimental physicist or engineer to join our Photonics Group and contribute to the development of advanced photonic components for our quantum systems. This role involves hands-on work…
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Full-time
postgraduate degree
Supportive Work Culture, Professional Growth Programs, Health and Wellbeing Support
Posted 49d ago
~40 hrs/week
Responsibilities
Develop end-to-end algorithmic solutions for e-beam inspection and yield control in the semiconductor industry. Conduct applied research to achieve state-of-the-art performance in computer vision and machine learning.
Requirements
Requires an M.Sc. or higher in exact sciences and over 4 years of experience in algorithm development with extensive Python coding. Practical experience in Computer Vision, Machine Learning, and Deep Learning is essential.
Full job description
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.
We are looking for a bright Algorithms Engineer in the fields of Computer Vision and Deep Learning. Our EBI algorithm team is focused on applied research to achieve state-of-the-art performance and to develop ground-breaking products, creating positive impact on PDC and the entire semiconductor industry.
About us:
We develop innovative machine learning solutions for complex problems in computer vision, imageprocessingand yield control for the semiconductor
Our team isfocusedconducting applied research tosurpassingstate-of-the-art and tocreateground-breaking products, makingimpacton theindustry as a whole.
What’s in it for you?
Join a world-class team focused on innovative, cutting-edge research and development.
Work on high-impact applications, solving challenging and diverse problems.
Enjoy a friendly, creative and collaborative environment.
What You’ll Be Doing?
Develop solutions for challenging and diverse algorithmic problems in e-beam inspection field, including end-to-end solution delivery to our customers.
What You Should Have?
Innovative mindset with a “can do” approach.
M.Sc. (or above) in exact sciences.
Practical experience working with Computer Vision, Machine Learning and Deep Learning.
4+ years of algorithm development, with extensive coding in Python.
Fast learner with strong autodidactic capabilities.
Experience in multidisciplinary products - an advantage.
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:
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.
We deliver material innovation that changes the world.
Industry
Semiconductor Manufacturing
Company size
10,001+ employees
Founded
1967
Headquarters
Santa Clara, CA
LinkedIn followers
656,148
Total funding
$2.2B
Applied Materials is the leader in materials engineering solutions that are at the foundation of virtually every new semiconductor and advanced display in the world. The technology we create is essential to advancing AI and accelerating the commercialization of next-generation chips. At Applied, we push the boundaries of science and engineering to deliver material innovation that changes the world.
We look forward to engaging with you on compelling topics about the semiconductor industry. We want to hear from you, but offensive comments that create an unpleasant environment for our community will be removed. Thanks for your understanding.
Offices: 3050 Bowers Avenue, Santa Clara, CA 95054, US
Semiconductor Manufacturing EquipmentMaterials EngineeringFlat Panel Display Manufacturing Equipmentand Global Services for the industries servedElectronicsSemiconductorEducationSoftwareProduct DesignManufacturing
How many Science & Research jobs are open in Rehovot, Israel right now?
There are currently 50 open science & research positions in Rehovot, Israel listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Rehovot, Israel?
Companies currently hiring include Applied Materials, Nova Ltd., Pi-Cardia, Stratasys, HP, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Rehovot, Israel?
Yes — 2 of the 50 open science & research positions offer remote or hybrid work (0 remote, 2 hybrid).
How do I apply for Science & Research jobs in Rehovot, Israel?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.