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Job Description
- Req#: JR0250587
- Train state-of-the-art large language computer vision models.
- Algorithms development in Python, C++ and CUDA.
- Apply algorithms to materials science data.
- Collaborate with scientists and engineers from various groups.
- Learn about cutting-edge transistors technology.
- Building convolutional networks for object detection.
- Experience with relational databases
- Experience with version control
- Git experience
- Keeping detailed notes of computer experiments
- Understanding of design of experiments
- Currently pursuing a bachelor’s degree in computer science, Data science, or related discipline.
- 1+ month(s) experience in OpenCV
- 1+ year(s) experience Python
- Willing to work a part-time schedule during the spring semester and full-time during the summer
- 6+ months experience with C++
- 6+ months hands-on experience with computer vision with emphasis on OpenCV for objection extraction
Job Details:
Job Description:
The Logic Technology Development (LTD) Device team within Intel is looking for a highly motivated Computer Vision Intern to join us in January 2024. This is an exciting opportunity that intersects across computer vision, data science and materials science. Your contributions will be some of the first in this interdisciplinary field. You will gain breadth as well as depth. You’ll be partnered with a mentor, and you will be part of a multi-disciplinary team of process integrators, device physicists and materials scientists.
Work Model:
The internship is 100% remote, and it will span Spring and Summer of 2024. You will work a part-time schedule (20-32 hours per week) for Spring Semester, and you will work full-time (40 hours per week) during the Summer.
What you’ll do:
The ideal Intern may have some exposure or familiarity with the following:
Qualifications:
You must possess the below minimum qualifications 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. The experience listed below may be obtained through schoolwork, classes and project work, internships, military training, and/or work experience. This position is not eligible for Intel immigration sponsorship.
Minimum Qualifications:
Preferred Qualifications:
Job Type:
Student / InternShift:
Shift 1 (United States of America)Primary Location:
Virtual USAdditional Locations:
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.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.Position of Trust
N/ABenefits:
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
Annual Salary Range for jobs which could be performed in
US, Colorado, New York, Washington, California:$40,000.00-$108,000.00S al ary range dependent on a number of factors including location and experience.
Work Model for this Role
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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.About the company
Intel's innovation in cloud computing, data center, Internet of Things, and PC solutions is powering the smart and connected digital world we live in.
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