Computer Vision Engineer Jobs

About The Position

Requirements

• Strong foundation in: Image Processing, Computer Vision, Pattern Recognition, Signal Processing, Computational Imaging
• Knowledge of image registration, alignment, pattern matching, feature extraction, optical imaging, or defect detection algorithms.
• Experience with machine learning or deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Familiarity with Linux development environments and software development best practices.
• Proficiency in Python, MATLAB, C++, or a combination of these languages.
• Experience with GPU acceleration, CUDA, parallel computing, or high-performance computing techniques.
• Understanding of optimization methods, model validation, and algorithm performance characterization.
• Strong analytical and troubleshooting skills with the ability to work on complex technical problems.
• Excellent communication skills and the ability to collaborate across cross-functional teams.

Responsibilities

• Develop, characterize, and optimize advanced image-processing and computer-vision algorithms for semiconductor wafer inspection applications.
• Support customer and factory escalations related to PDA performance, alignment accuracy, nuisance reduction, defect sensitivity, and inspection robustness.
• Analyze large-scale inspection datasets to identify root causes, quantify algorithm performance, and recommend corrective actions.
• Design and implement algorithm enhancements that improve detection capability, accuracy, throughput, and production stability.
• Collaborate with Applications, Systems Engineering, Software Engineering, Product Management, and Customer Support teams to resolve critical customer issues and accelerate volume ramp activities.
• Develop prototypes using Python, MATLAB, or equivalent tools and transition algorithms into production-quality software.
• Evaluate and apply machine learning, deep learning, and AI-based approaches where appropriate to improve inspection and image-analysis performance.
• Conduct algorithm characterization studies, develop performance metrics, and create validation plans for new features and improvements.
• Drive data-driven decision making through statistical analysis, visualization, and automated evaluation frameworks.
• Participate in requirement definition, feature development, code reviews, design reviews, and technical documentation.
• Provide technical leadership for complex debugging and root-cause investigations involving imaging systems, design alignment, and defect detection algorithms.

Benefits

• medical
• dental
• vision
• life
• 401(K) including company matching
• employee stock purchase program (ESPP)
• student debt assistance
• tuition reimbursement program
• development and career growth opportunities and programs
• financial planning benefits
• wellness benefits including an employee assistance program (EAP)
• paid time off
• paid company holidays
• family care and bonding leave