Applied Materials

Inspection Algorithm Developer for R&D Extension Korea

PyTorch Pandas Python NumPy OpenCV TensorFlow Machine Learning Deep Learning R
Description

Local expert of Inspection Algorithm development and support group for Algorithm matters at customer site

  • Working cooperation with algorithm development group in India and Israel
  • Algorithm integration in large systems considering HW and SW aspects
  • Engage in customer facing activities to aid algorithms' proliferation at customer sites
  • Develop state of the art algorithms in the fields of Image Processing, Computer Vision, Machine Learning, and Deep Learning.
  • Extending tool performance with the customer-oriented algorithm development for improving defect sensitivity and visualization, e.g., EoU, and TTR.
  • Provide software specifications and production code on time to meet project milestones
  • Multi-disciplinary environment: close work with the applications, system, physics, software, and qualification groups to understand the customers’ requirements and system constraints
  • 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

Algorithm Support at customer site

  • Application support for algorithm-induced challenges, such as defect detection error, matching & correlation issues in a fleet of tools, etc. at customer site
  • Providing the solution on algo issues – Diagnostics(R/C) and troubleshooting
  • Guiding new implemented algo feature and providing training for account Apps
  • Algo bug fixing – Support for worldwide reported bug fixing as a member of algo developer
  • Communicate issues and feedback to PDC Algo group and get inputs for troubleshooting at customer site
  • Demonstrate excellent communication skills to improve customer satisfaction

Requirements:

  • Bachelor/Master/Doctor degree in exact sciences (Physics /Applied Math / Computer Science / Electrical Eng., etc.)
  • 2+ ~ 15 years of experience in related fields
  • Strong theoretical foundation and hands-on experience as Algorithm developer
  • Theoretical and hands-on experience in Image Processing, Computer Vision, and classical Machine Learning (un/semi/supervised). Deep Learning – advantage.
  • Strong fundamentals & practical experience in Python programming & deep learning frameworks such as PyTorch.
  • Solid Mathematical foundation and understanding of probability, statistical analysis, image processing and machine learning principles.
  • Proficiency in image processing techniques and libraries (Ex; Numpy, OpenCV, Scikit, pandas etc.).
  • Familiarity with optimization techniques for memory and throughput in deep learning algorithms
  • 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%
  • Advantage:
    • Theoretical and hands-on experience in detection, segmentation, image enhancement and simulations
    • Experience/knowledge in unsupervised learning, and anomaly detection
    • Deep Learning (Pytorch/TensorFlow frameworks)
    • Understanding of imaging systems and physics
    • Experience in multidisciplinary and matrix organization
    • Experienced in semiconductors industry

Qualifications

Education:

Bachelor's Degree

Skills:

Certifications:

Languages:

Years of Experience:

Up to 1 Year

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 20% of the Time

Relocation Eligible:

No

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. 

Applied Materials
Applied Materials
Electronics Manufacturing Semiconductor Software

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