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(Sr.) C++ Developer / Image Processing - Fully Remote(WFH) - Zealogics.com - Career Page Skip To Job Description

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(Sr.) C++ Developer / Image Processing - Fully Remote(WFH)

Remote

Full Time

Experienced

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We 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 responsibilities

• Participate in algorithm development for inspection and metrology
• Collaborate with architects, designers, and engineers to develop robust computer vision modules
• Work with Product Management to prioritize feature development and breakdown tasks
• Drive infrastructure and architectural optimization solutions
• Perform code reviews and ensure proper design and delivery
• Assessment and improve algorithm performance
• Software 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 experience

• MS. 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 role
• Solid skills in C++ programming
• Good communication and organizational skills
• Experience transferring technology from research in computer vision, image processing or machine learning into a shipping product
• Ability to work on complex projects and translate requirements from internal and external customer’s into algorithm specs
• Familiar with Git/Bitbucket/JIRA.

Nice to have

• image noise reduction
• (Defect) detection and classification
• Unsupervised/ Supervised learnings
• Context-aware detection
• Adaptive Threshold
• Image filtering for CR/NR improvement
• Image alignment

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