Senior Algorithm Development Engineer

Cynet Systems • Santa Clara, CA

21h

About The Position

The candidate will research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology. The role includes benchmarking and validation to assess algorithm accuracy, robustness, computational efficiency, and overall performance. The candidate will implement, optimize, and maintain production-quality algorithmic software in Python and C++, and collaborate with software, systems, applications, and compute infrastructure teams to integrate algorithms into products. They will document technical findings and communicate results through reports, presentations, and design reviews.

The position contributes to research and development of algorithms that improve defect detection, classification, and metrology accuracy across semiconductor inspection and metrology products. The company describes itself as a global leader in materials engineering solutions and equipment used to manufacture semiconductors and advanced displays, and highlights an inclusive, collaborative work environment and opportunities to work with engineers and researchers on semiconductor manufacturing technologies.

Requirements

• Recent Master's or Ph.D. graduate in Electrical Engineering, Computer Science, or a related field, specializing in Computer Vision, Image Processing, Signal Processing, Machine Learning, or a related area.
• Graduate-level coursework in classical and modern computer vision.
• Hands-on project work in image registration, image segmentation, camera calibration, multi-view geometry, and related image analysis techniques.
• Proficiency in Python and/or C++ gained through research, coursework, internships, or academic projects.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative, cross-functional engineering environment.

Nice To Haves

• 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, such as CVPR, ICCV, ECCV, or ICIP.
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or equivalent tools.

Responsibilities

• 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.
• Contribute to algorithms that enhance defect detection, classification, and metrology accuracy.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior