24 days old

Computer Vision Engineer

Hillsboro, OR 97123
  • Job Code
Job Description

Join Intel-and build a better tomorrow! Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. So join us-and help us create the next generation of technologies that will shape the future for decades to come.

As a Computer Vision Researcher on Intel's Technology Development Analytics and Automation (TDAA) Image Analysis Systems team you will initiate the design, development, execution and implementation of visual inspection platforms that provide defect detection and measurement capabilities for technology manufacturing process tools in high-volume production. The position requires application of state-of-the art image processing and analytical methods to detect visual artifacts at a high degree of precision.

Responsibilities will include, but not be limited to:

  • Collaborate with a team of fellow researchers to invent and innovate novel techniques, methods and models that can put to prime time use in our factories.

  • Investigate feasibility of machine learning approaches and concepts to potential solution inventions.

  • Maintains substantial knowledge of state-of-the-art principles and theories and contributes to scientific literature and conferences.

  • Understanding and owning Intel's state-of-the-art defect metrology equipment.


You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.

Knowledge and/or experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.


  • In the process of obtaining a PhD degree in Computer Science, Mathematics, Physics or related Engineering discipline

  • 1+ year of experience applying OpenCV or MATLAB for practical problems and research in image processing.

1+ year of experience with the following (having more than one will be preferred):

  • Image processing. Those with advanced image processing skills will be highly favored for this position.

  • ML techniques.

  • C++, Python.

  • Publications in high quality conferences and journals such as CVPR, NIPS, ICCV, ECCV, SIGKDD, PAMI, TIP, etc.

Preferred Image Processing and Computer Vision:

  • Image matching: registration, normalization.

  • Feature extraction, matching, correction/transformation, distortion correction.

  • Image filtering: spatial domain, Fourier domain.

  • Advanced filters: adaptive, steerable, etc.

  • Image segmentation:

  • Thresholding, edge detection and linking, region growing.

  • Deformable shapes, active contours, etc.

  • Morphology.

  • Image representation:

  • Basic descriptors: area, minor axis length, major axis length, normalized axis ratio, eccentricity, Fourier descriptors, shape numbers, etc.

  • Binary descriptors: ORB, BRISK, LBP, etc.

  • Advanced descriptors: HoG, SIFT/SURF, GLOH, etc.

  • Object detection/classification (using classical image processing) using connected component analysis, region props filtering.

  • Image/background modeling, change/anomaly detection using image processing.

  • 3D image processing:

  • Change detection in 3D images.

  • Construction and analysis of 3D images.

  • Depth detection in 3D images.

  • Solid understanding of probability, probability distributions, sampling theory.

  • Proven research experience in the domain of image processing and computer vision.

Preferred Machine Learning:

Supervised algorithms:

  • Classification: SVM, DT, KNN, logistic regression, etc. Ensemble classifiers: RF, bagging, boosting, etc.

  • One-class classification (OOC). Outlier detection.

  • Regression: linear regression, ridge regression, etc. Time series analysis, root cause analysis.

Unsupervised algorithms:

  • Clustering: k-means, fuzzy c-means, hierarchical clustering, etc.

  • Dimensionality reduction: features extraction, PCA, LDA, features selection.

  • Learning from imbalanced-data sources.

  • Data drift detection.

Inside this Business Group

As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support.  Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moores Law to bring smart, connected devices to every person on Earth.

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

Posted: 2022-05-01 Expires: 2022-06-01

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Computer Vision Engineer

Hillsboro, OR 97123

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