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.
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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
Qualifications
Education:
Bachelor's Degree (Required)
Skills
Certifications:
Languages:
Years of Experience:
4 - 7 Years
Work Experience:
Additional Information
Shift:
Day (Israel)
Travel:
No
Relocation Eligible:
No
Referral Payment Plan:
Employee Referral (Standard)
Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.