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 an Algorithm Developer to develop new and innovative image and signal processing features for our SEM inspection platform

What’s in it for you?

• Work on complex and impactful challenges in the defect inspection field on SEM imaging.

• Tackle real-world challenges that shape the future of semiconductor technology,

• Develop solutions end-to-end, from idea to a product feature.

• Use different approaches, technologies and data types (Classical ML, Deep learning, Image processing, tabular data).

• Enjoy professional growth, be part of a large group of talented algo engineers, and collaborate with different teams and disciplines (Physics, System, Software).

What will you be doing?

• Develop new algorithms: Research to find new directions; design of experiments; run hands-on experiments; perform data analysis; algorithm development; present recommendation to management; support the transition from concept to product

• Improve algorithms: Analyze algorithmic unexpected behaviors, conduct experiments and come up with solution proposals

• Collaborate with other disciplines on algo / image processing related activities

• Stay current with advancements in computer vision and machine learning

What you should have?

• Education MSc. or PhD. in Computer Science, Engineering, or related field.

• Experience At least 4 years in image processing and data science algorithm development

• Algorithms Proficiency in classical computer vision, deep learning, supervised and unsupervised approaches, strong statistical background

• Software Good Python development skills, knowledge in relevant libraries (Pytorch, SciPy, SKLearn etc.).

• Excellent English

• Willingness to travel - 10%

Personal traits:

• Analytical thinker with a proactive, solution-oriented mindset

• Can convert idea / problem statement to experiment plan and analyze results

• Able to explain complex topics in a simple manner

• Collaborative team player in a diverse, global environment

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.