$131,000 - $180,000 USD yearly
Originally posted 26 October 2026 by the employer.
About the role
As an Algorithm Developer Engineer E2, you will contribute to the research and development of computer vision, image analysis, and signal processing algorithms for semiconductor wafer inspection and metrology applications. You will implement and optimize algorithms that enhance defect detection, classification, and metrology accuracy across inspection and metrology products.
What you'll do
- 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.
What you'll need
- 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. - Proficiency in Python and/or C++ through research, coursework, internships, or academic projects. - 0-2 years of experience as a new college graduate.
Nice to have
- 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 peer-reviewed conferences or journals (e.g., CVPR, ICCV, ECCV, ICIP, or similar venues). - Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or equivalent tools.
Skills: computer vision, defect detection, wafer inspection, metrology, Python, C++