Job Details:

Job Description: 

Responsibilities may be quite diverse of a software technical nature. 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.

Qualifications:

- Bachelor, Master, or PhD degree in Computer Science or similar technical discipline (or equivalent)- A solid foundation in computer science, with strong competencies in computer system internals, data structures, algorithms, and software design- Experience with machine learning and deep learning technologies is a plus- Experience with large-scale, distributed data processing frameworks (e.g., Spark, Kafka, Flink, YARN, K8s, etc.) is a plus- Fluency in English (reading and writing)

          

Job Type:

Student / Intern

Shift:

Shift 1 (China)

Primary Location: 

PRC, Shanghai

Additional Locations:

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

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.