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Location
In office (Shanghai)
Employment
Full-Time
Overview
Company
Impact
Profile match
Intel is an American semiconductor company founded in 1968 by Robert Noyce and Gordon Moore and headquartered in Santa Clara, California. It created the x86 instruction set that still underpins most personal computers and servers, and designs and manufactures processors, chipsets, discrete graphics, networking silicon and AI accelerators. Unlike most of its competitors the company owns its fabrication plants, and it is investing heavily in Intel Foundry to manufacture chips for external customers while rebuilding its process technology leadership.

Job Details:

Job Description:

The Role and Impact:

As an AI Frameworks Engineer, you will play a key role in the development and optimization of cutting-edge artificial intelligence frameworks. You will focus on designing and implementing AI software solutions that enhance performance across diverse hardware and platforms, contribute to AI framework optimizations, communication collectives development, as well as new GPU HW enablement.

Key Responsibilities:

- Design and develop AI frameworks and solutions optimized for different Intel products.

- Implement distributed algorithms, including compute and communication overlap, kernel fusion to deliver peak performance.

- Profile key models to identify performance bottlenecks and work collaboratively to propose and implement optimizations.

- Contribute to open-source AI projects and ensure alignment with industry standards and best practices.

Qualifications:

Minimum Qualifications:

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field with 0-1 years of hands-on experience in AI frameworks and algorithms, demonstrated through internships, academic projects, coursework, or hands-on training

- Proficiency in modern C++ and Python programming languages.

- Foundational understanding of deep learning theories and concepts.

- Familiarity with AI frameworks such as PyTorch, vLLM and SGLang.

- Demonstrated ability to debug and optimize software for performance across hardware platforms.

Preferred Qualifications:

- Experience in performance optimization techniques and technologies.

- Familiarity with large language models (LLM) and inference stacks, along with a deep understanding of model structure.

- Proven ability to contribute to open-source projects or collaborate within open-source ecosystems.

- Strong problem-solving skills and analytical capabilities for addressing complex technical challenges.

- Effective communication skills, with fluency in written and spoken English.

Job Type:

College Grad

Shift:

Shift 1 (China)

Primary Location:

PRC, Shanghai

Additional Locations:

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.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
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