Job Details:

Job Description: 

Are you excited by the opportunity to work on the next generation of AI/GenAI technologies and systems (LLMs, PyTorch, vLLM, Ray, Docker, and more)? In this role, you’ll tackle complex, real‑world challenges across:

 

* Parallel & distributed computing on CPU/GPU
* Deep learning frameworks
* Computer architecture & operating systems
* Data storage and Networking

 

If you thrive on solving hard problems at the intersection of systems and AI, we’d love to hear from you!

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 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:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

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. * Job posting details (such as work model, location or time type) are subject to change.