2. Algorithm Development
Working cooperation with algorithm development group in PDC & AMIND
Algorithm integration in large systems considering HW and SW aspects
Engage in customer facing activities to aid algorithms' proliferation at customer sites
Extending tool performance with the customer oriented algorithm development for improving data reliability & measurement success, etc.
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
Develop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning, etc.
Participating in communication chain with customer to clear understand VoC and challenges from a technical perspective to develop in the right direction
Performing C&F for CIP and preliminary research for new feature in next generation algo development, and beta testing in customer site
3. Algorithm Support at Customer Site
Application support for algorithm-induced challenges, such as measurement error, data reliability, correlation, and matching issues, etc. at customer site
Providing the solution on Algorithm issues – Diagnostics(R/C) and troubleshooting
Guiding new implemented Algorithm feature and providing training for account Apps
Algorithm bug fixing – Support for worldwide reported bug fixing as a member of Algorithm developer
Communicate issues and feedback to Metrology/Inspection Algorithm group and get inputs for troubleshooting at customer site
Demonstrate excellent communication skills to improve customer satisfaction
Requirements
Bachelor's degree, Master’s degree and above
Strong theoretical foundation and >3year proven hands-on experience in Computer Vision and Image Processing algorithms
Thorough understanding of probability and statistics
Strong skills in developing in MATLAB and Python
Ability to work independently as well as part of a team
Fluent English – verbal and text
Team player with excellent communication and collaboration skills
Travel – capable for initial 1-2 months travel and later willingness to travel up to 30%
Preferred
Theoretical and hands-on experience in detection, segmentation, image enhancement and simulations
Theoretical and hands-on experience in Machine Learning
Theoretical and hands-on experience in Deep Learning
Understanding of imaging systems and physics
Development experience in Java and C/C++
Experience in multidisciplinary and matrix organization
Experienced with semiconductors organizations
Additional Information
Time Type
Full time
Employee Type
Assignee / Regular
Travel
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.
