Computer Vision Engineer – WATD
|Published||January 22, 2023|
|Location||Hillsboro, United States of America|
Builds computer vision (CV) based products/solutions. Creates and implements new or uses existing traditional and deeplearning CV algorithms, to solve applied problems in various domains such as Automotive, Security and Surveillance, Retail, Robotics, Industrial, etc. Interacts with users to define requirements for CV based product/solutions. In either research environments or specific product environments, utilizes current programming methodologies to translate CV algorithms into software. Completes programming, debugging, testing, validation, documentation and/or deployment of the solution/products. Engineers computing frameworks, testing and validation and other relevant software tools.
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications: Masters 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. Preferred Qualifications: In the process of obtaining a PhD degree in Computer Science, Mathematics, Physics or related Engineering discipline 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 Moore’s 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.
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.
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html
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.
In certain circumstances the work model may change to accommodate business needs.