Job Details:

Job Description: 

Data Center Packaging Engineering team is looking for a motivated Graduate summer intern with experience in machine learning and computer vision domains who can collaborate and contribute in exploration efforts to incorporate AI flow/approach to substrate design, physical fit/placement prediction and overall methodology that improve our design efficiency and/or quality. Subsequently, familiarity in this space along with literature survey and idea generation are highly preferred.  In this position the successful candidate will have opportunities to work within a highly focused team to learn, research and conduct tasks and experiments to help influence AI into our basic design methodology, practices and verification/validation that span across various stages of our Datacenter product package design flow.

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Behavior traits:

• Proven track record of collaboration and technical leadership to deliver leading-edge solutions.
• Verbal communication, technical writing, and presentation skills
• Independent research, debugging, and prototyping capabilities.

Qualifications:

Minimum Qualifications

Candidate must have a Bachelor's degree and currently pursuing a MS degree in Computer Science, Computer Engineering or related field with an emphasis on AI coursework or credentials.

1+ years of experience in following areas:

• Machine Learning and Computer Vision, i.e., Generative Models, Image generation and Signal Processing
• AI frameworks (e.g., PyTorch, TensorFlow, Keras, Caffe)
• Python and/or C++ languages
• Data analysis, statistical methods, and algorithm evaluation

Preferred Qualifications:

• Knowledge of Computer Vision techniques such as object detection, recognition, tracking, and reconstruction
• Knowledge of Generative Models
• Knowledge of Machine Learning techniques

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, California, Santa Clara

Additional Locations:

US, Arizona, Phoenix, US, California, Folsom, US, Oregon, Hillsboro

Business group:

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

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/A

Benefits:

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, California:$63,000.00-$166,000.00

Salary range dependent on a number of factors including location and experience.

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. In certain circumstances the work model may change to accommodate business needs.