Algorithm Developer
Major semiconductor equipment manufacturer · Santa Clara, CA
- Location
- Santa Clara, CA · Onsite
- Salary band
- Band not stated
- Type
- Contract
- Level
- New grad
- Work authorization
- Not stated
Stack
Computer Vision · Image Processing · Signal Processing · Machine Learning · Python · C++ · Image Registration · Image Segmentation · Camera Calibration · Multi-view Geometry · Deep Learning · PyTorch · TensorFlow · Algorithm Development · Semiconductor Wafer Inspection · Metrology
About the role
Title: Algorithm Developer Location: Santa Clara, CA Terms: 6 - 12 months Contract+ Possible extension Job Details: 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. Working closely with experienced engineers and researchers, you will implement and optimize algorithms that enhance defect detection, classification, and metrology accuracy across [contact hidden]' semiconductor inspection and metrology products. Key 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, [contact hidden], 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.
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