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AMAmat logo

Amat

Bangalore

Technical Lead – Algorithm Developer.

SENIOR LEVELENGINEERING
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. What We Offer Location: Bangalore,IND You’ll 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. At Applied Materials, we care about the health and wellbeing of our employees. 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. Technical Lead – Algorithm Developer Location: Bangalore , Chennai & Mumbai. Role Overview We are looking for an experienced Algorithm Developer to lead the design and development of advanced image processing and computer vision algorithms for semiconductor optical wafer inspection systems. This role involves driving projects from concept to production, working closely with cross-functional teams, and contributing to next-generation inspection technologies. Key Responsibilities Develop and optimize algorithms for image processing, defect detection, pattern recognition, classification, and image registration. Combine classical computer vision techniques with deep learning models to solve complex inspection challenges. Perform algorithm validation, feasibility studies, benchmarking, and data analysis. Work with large semiconductor inspection datasets and build data pipelines. Collaborate with Product, Software, Systems, Applications, and Engineering teams. Support algorithm integration into production systems and customer deployments. Present technical solutions to internal stakeholders and customers. Key Requirements Master's Degree or Ph.D. in Computer Science, Electrical Engineering, Computer Vision, Image/Signal Processing, or related field. 7-15 years of experience in image processing, computer vision, and algorithm development. Strong expertise in: Computer Vision & Image Processing Applied Mathematics Deep Learning (PyTorch, TensorFlow) Python Programming OpenCV / Scikit-Image Experience with Computational Geometry, Pattern Search, Pattern Matching, GDSII, OASIS, EDA, CAD Algorithms, Layout Processing, Geometric Algorithms. Semiconductor wafer inspection or industrial inspection experience preferred. Knowledge of C/C++, Java, CUDA/OpenCL, and MATLAB is an advantage. Excellent problem-solving, communication, and stakeholder management skills. . Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes 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. Cookies are small text files stored on your device that help the website function correctly. Our website uses only cookies that are strictly necessary to operate and to provide services explicitly requested by the user. These cookies cannot be switched off in our systems and do not track browsing behavior or collect data for analytics, advertising, or marketing purposes.
Pay
Not stated
Where
Bangalore · IND · India
Work
Not stated
Type
Not stated
Posted
29 Oct, 2026
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