Experienced Python Developer
Rehovot,ISR, Israel
Applied Materials
We work closely with our customers as strategic partners in ten countries across Europe. Facilitating progress through long-term relationships, and delivering the expertise, technology and services that bring their ideas and innovations to...Who We Are
Applied Materials is the 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 work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.
What We Offer
Location:
Rehovot,ISRAt Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. 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.
You’ll also 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 about careers at Applied.
We are looking for an Experienced Python Developer to join our growing team.
What’s in it for you?
You will be part of a great team working together to develop the tools which enables the future.
Working in a multi-disciplinary company will expose you to various areas which will benefit your personal growth.
Key Responsibilities
- Our challenge is the development of detection system for wafer inspection.
- Solutions are based on state-of-the-art algorithmic methodologies from the field of Image Processing and Computer Vision Machine/Deep learning.
- Create innovative products and see them launched and Learn and use advanced technologies.
- As a member of the group you will initiate, design and develop SW solutions for the algorithmic flow.
- You will make important technical decisions, ensure scalability and performance of our applications.
- Awesome working environment and great terms for the right candidates!
- 100% Hands On.
Skills and Experience
- BSc in Computer Science or related technical discipline.
- At least 3 years of experience in Python or C++ programming for complex SW systems.
- Experience deploying Deep Learning models – advantage.
- Experience designing and deploying large-scale SW solutions- advantage.
- Experience in Image Processing/Computer Vision & optimizations – advantage
- Excellent system vision and understanding.
- Excellent teamwork and ability to lead, guide and mentor algo developers.
- Self-motivated, works well without supervision, sees commitments through completion.
- Innovative, Capability of learning and adoptive modern technologies
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
NoRelocation Eligible:
NoApplied 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Computer Vision Deep Learning Engineering Python
Perks/benefits: Career development Health care Wellness
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