Job Details:

Job Description: 

AYou will work at the Intel AI software customer engineering team to deliver the AI solutions with Intel AI accelerator. The assignment includes bug not limits to - Enable the popular models or AI workloads on Intel AI accelerator. - Write the script with the best configuration to measure the workload performance. - Solve the system and software problems during the benchmarking

Qualifications:

Strong background in machine learning, including the large language model and stable diffusion Proficiency in Python and Linux script programming Knowledge of CPU/GPU architecture Good on-hands skill to set up hardware/system/software to run the AI workloads 3 days at office per week and 6 months internship at least Working location: Intel Shanghai Zizhu

          

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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.