Sr. C++ Developer / Image Processing at Zealogics.com | Torre
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Sr. C++ Developer / Image Processing

You will advance computer vision for Fortune 500 clients, optimizing SEM inspection and metrology.
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Posted 6 months ago

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Job DescriptionWe are multinational team to collaborate with Fortune 500 client !As a C++ Engineer, you will develop and implement computer vision algorithms help SEM inspection and metrology tasks for various patterns/layers, improve system throughput and computation efficiency.Experiences:5+ year software development.Master degree and above.Experience of image processing or pattern recognition algorithm development.Role and responsibilitiesParticipate in algorithm development for inspection and metrologyCollaborate with architects, designers, and engineers to develop robust computer vision modulesWork with Product Management to prioritize feature development and breakdown tasksDrive infrastructure and architectural optimization solutionsPerform code reviews and ensure proper design and deliveryAssessment and improve algorithm performanceSoftware development based on product/project requirements.Inspection flow and inspection module performance evaluation and optimization.Software troubleshooting and bug fixing.Cross-nation and cross-team communication to understand the tasks and ensure projects are on time and teamwork smoothly.Education and experienceMS. in exact sciences (Computer Sciences, Computer Engineering, Electrical/Electro- Optical Engineering, Applied Mathematics or Physics)3+ years of hand-on development as a computer vision engineer, Machine learning engineer or related roleSolid skills in C++ programmingGood communication and organizational skillsExperience transferring technology from research in computer vision, image processing or machine learning into a shipping productAbility to work on complex projects and translate requirements from internal and external customer’s into algorithm specsFamiliar with Git/Bitbucket/JIRA.Nice to haveimage noise reduction(Defect) detection and classificationUnsupervised/ Supervised learningsContext-aware detectionAdaptive ThresholdImage filtering for CR/NR improvementImage alignment
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