Image Processing Algorithm Developer

Applied Materials; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Applied Materials is seeking a Software Engineer in Bengaluru specializing in image analysis and computer vision. The ideal candidate will possess a BTech or MTech in Electronics or Computer Science with over 5 years of experience. Key responsibilities include defining application features, developing algorithms for defect detection, and collaborating with cross-functional teams. The role offers full-time employment with travel opportunities and a focus on innovative algorithm development.

Qualifications

• 5+ years of experience in computer vision.
• Experience in image processing using MATLAB/Python OpenCV.
• Working knowledge of deep learning using Python.

Responsibilities

• Define and develop application flow considering UX requirements.
• Work with teams to analyze alternative solutions.
• Develop algorithms for defect detection and image analysis.

Skills

Machine Learning

Deep Learning

Image Analysis

MATLAB

Python

OpenCV

Halcon

Algorithm Development

Analytical Skills

Problem Solving

Education

BTech / MTech in Electronics / Computer Science

Job description

Location: Bangalore, IND

Responsibilities

• 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 & Responsibilities

• 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)
• 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

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.

Time Type: Full time

Employee Type: Assignee / Regular

Travel: Yes, 25% 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.