Job Description
Pay Range: $52.00hr - $57.00hr Job Overview: The candidate will research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology applications. The role involves conducting benchmarking and validation studies to evaluate algorithm performance, accuracy, and computational efficiency. Company Overview: The organization is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. The company designs, builds, and services cutting-edge equipment that enables customers to manufacture semiconductor devices and displays that power today's connected world. What We Offer: The organization prioritizes employee well-being and fosters an inclusive and collaborative work environment. Candidates will have the opportunity to work alongside industry-leading engineers and researchers, develop innovative solutions, and build a rewarding career while contributing to technologies that enable the future of semiconductor manufacturing. Responsibilities: As an Algorithm Developer Engineer E2, the candidate will contribute to the research and development of computer vision, image analysis, and signal processing algorithms for semiconductor wafer inspection and metrology applications. Working closely with experienced engineers and researchers, the candidate will implement and optimize algorithms that enhance defect detection, classification, and metrology accuracy across the organization's semiconductor inspection and metrology products. Research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology applications. Conduct benchmarking and validation studies to evaluate algorithm accuracy, robustness, computational efficiency, and overall performance. Implement, optimize, and maintain product-quality algorithmic software in Python and C++ for production and deployment. Collaborate with software, systems, applications, and compute infrastructure teams to integrate algorithms into production products. Document technical findings and communicate results through reports, presentations, and design reviews. Minimum Qualifications: Recent Master's or Ph.D. graduate in Electrical Engineering, Computer Science, or a related field, with specialization in Computer Vision, Image Processing, Signal Processing, Machine Learning, or related areas. Graduate-level coursework in classical and modern computer vision, along with hands-on project work in image registration, image segmentation, camera calibration, multi-view geometry, and related image analysis techniques. Proficient in Python and/or C++ through research, coursework, internships, or academic projects. Preferred Qualifications: Experience applying mathematical and statistical methods to formulate and solve engineering problems. Experience with image-based deep learning methods for computer vision applications. Experience using AI-assisted coding tools for software development, prototyping, and debugging. Publications in leading peer-reviewed conferences or journals (e.g., CVPR, ICCV, ECCV, ICIP, or similar venues). Additional Skills: Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or equivalent tools. Strong analytical, problem-solving, and communication skills. Ability to work effectively in a collaborative, cross-functional engineering environment. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.