Undergraduate Algorithms Engineering Co-op/Intern

Key Skills

AI technology, C++, Computer Vision (CV), Data science techniques, Deep Learning, Image processing, Image signal processing, Machine learning techniques, Pose estimation, Python Programming

Job Description

Intel CareAI is a specialized group within the company that focuses on utilizing Intel software and hardware to solve challenges within the biomedical realm. The CareAI engineering team holds a wealth of knowledge and expertise in the biomechanics and human centric AI domains. Our projects involve applying computer vision, cloud computing, and customized UI solutions to create tools for clinicians and patients in the rehabilitation space.

The CareAI co-ops will work in one or more fields such as Computer Vision, Deep Learning, Biomechanics, Sports Physiology, Cloud Computing, Backend Development, UX/UI, and others.

Responsibilities may be quite diverse of a nonexempt technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school. This position can be remote or on-site depending on the co-op's situation, but it is suggested to be completed on-site. The co-op can be completed fully remote, but our offices and labs are open for essential tasks. This is a 6-month internship starting in January 2023.

Qualifications

This position is not eligible for employment-based visa/immigration sponsorship. Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or PhD degree, or a Bachelor's degree with three years' related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a Bachelor's degree and less than three years' experience.

Minimum Qualifications:

• Currently pursuing a BS in Computer Science, Electrical/Computer Engineering, or related fields such as Statistics, Physics, or Applied Math
• 6+ months of classroom/project experience or intern experience in Computer Vision, Machine Learning, or Data Science
• Experience in Python or C++
• Experience working in a motion capture laboratory

Preferred Qualifications:

• Intern experience in Designing production software in Python or C++
• Developing commercial AI solutions and working with Cameras and/or image sensors
• Interest and/or experience of camera calibration, pose estimation and /or deep learning

Inside this Business Group

The mission of the Emerging Growth and Incubation (EGI) group is to create an environment to identify, incubate and scale new billion-dollar businesses leveraging Intel's competitive advantages. EGI is a fast paced, dynamic and startup-like organization that is responsible for incubating new ideas within Intel. We have over 1500 employees globally. Our portfolio includes HW, SW, Solutions and SaaS businesses.

Other Locations

US,Santa Clara

Covid Statement

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.Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

Working Model

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.