Algorithm Developer III (OPWI) - (E3)

工作内容

• Key Responsibilities
• Develop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
• Engage in customer facing activities to aid algorithms’ proliferation at customer sites
• Provide software specifications and production code on time to meet project milestones
• Close work with the applications, system, physics, software, and qualification groups in order to understand the customers’ requirements and system constraints
• Algorithm integration in large systems considering HW and SW aspects
• Requirement
• MSc in Physics/ Electronics eng./ Computer Science and 3+ years of experience as Algo. developer OR
• PhD in Physics/ Electronics eng./ Computer Science
• Strong theoretical foundation and hands-on experience in Computer Vision and Image Processing algorithms - must
• Thorough understanding of probability and statistics - must
• Strong skills in developing in MATLAB – must
• Development experience in Python - must
• Ability to work independently as well as part of a team – must
• Availability to travel abroad 20% of the year
• Theoretical and hands-on experience in detection, segmentation, image enhancement and simulations– advantage
• Theoretical and hands-on experience in Machine Learning – must
• Theoretical and hands-on experience in Deep Learning – advantage
• Understanding of imaging systems and physics - advantage
• Development experience in Java and C/C++ - advantage
• Scored TOEIC higher than 550
• Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

QualificationsEducation:Master’s DegreeSkillsCertifications:Languages:Years of Experience:2 - 4 YearsWork Experience:Additional InformationTravel:Yes, 20% of the TimeRelocation Eligible:NoApplied 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.