Image Processing Algorithm Developer

About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible technology shaping the future. Our Team YTG group is a business unit within Applied Materials which develops and ships test systems for the display and packaging industry. Those systems are based on high-speed scanning electron beam microscopes. With those microscopes and our self-developed electronics, we detect signals and images for further processing. Thus, we perform complex data analysis and image processing algorithms to detect defects on memory and processors chips. The software team is responsible for controlling the electron beam, acquiring and processing those data and images. Your Opportunity Grow and enrich the existing team with the goal to build up a high visibility & high functional software team in India which works together with the engineering teams in Germany. The position will entail the following: • Define and develop application flow, feature list considering UX requirements • Develop software mockup using standard tools • Work with algorithms, system, software and other teams to analyze alternative solutions and provide data for decision making • Define minimum viable product working with program/project management team • Understand and translate market requirement to product requirement • Tool performance and limitation analysis Roles and Responsibility • Alignment: PR (pattern recognition) for alignment features, recognition, exclusion of false detections, analytics for PR success rate, methods to automatically find features with highest success rate of detection to set up reliable PR for alignment, • Defect detection: algorithms to detect defects with defect images and reference images, defect detection on periodic pattern, defect contour, defect topo evaluation from 4 perspectives, height measurement from 4 perspectives, ... • Analytics: find distortions of n-grades in structured images, noise reduction on images to find known features (like square on a very contaminated calibration plate) Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disability • Can create quick mockups and respond quickly to requests for help in the field • Has knowledge of Halcon, YOLO and other common image analysis tools • Competent in Machine Learning, Deep Learning and AI techniques for image analysis • Can adapt algorithms to run on GPU for extra speed Our Ideal Candidate ▪ Academic background in Computer Vision and +5 years of experience. ▪ Experience with Image processing using MATLAB®/Python OpenCV - transformation, enhancement, histogram processing, noise reduction, Fourier domain operations ▪Working knowledge of Deep learning using Python - transformers, convolutional neural network, hyperparameter tuning and model deployment ▪Conception, development and productization of algorithmic solutions that address high value problem statements ▪Design, prototype, validate and implementation high quality and scalable ML/DL algorithms in computer vision, natural language processing and time series data ▪Detail oriented with strong analytical, problem solving and communication skills ▪ Collaborate with cross-functional teams, strong documentation and presentation skills. Qualifications ▪BTech / MTech in Electronics / Computer Science or related stream with overall experience of +5 years of relevant work experience ## Qualifications ### Education: Bachelor's Degree ### Skills ### Certifications: ### Languages: ### Years of Experience: 2 - 4 Years ### Work Experience: ## Additional Information ### ### Shift: Day (India) ### ### Travel: Yes, 25% of the Time ### ### Relocation Eligible: Yes ### 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.