Job Details:
Job Description:
Intel CAIGC (AI and GPU IP Center of Excellence) is dedicated to advancing cutting-edge AI technologies and foundational software ecosystems. By collaborating with operating system vendors (OSVs), independent software vendors (ISVs), and developers, the team builds an end-to-end AI software ecosystem that empowers customers to deliver differentiated user experiences. The team focuses on two key areas
1. Enabling the AI PC ecosystem through dedicated NPU IP.
2. Delivering full-stack GPU IP solutions that span Intel's integrated and discrete graphics markets, offering seamless delivery from chip IP to system platforms to support the GPU technology roadmap.
The center's value lies in reshaping end-user experiences through AI and driving high-performance computing with GPU technologies, reinforcing Intel's leadership in the AI PC and graphics domains.
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We are currently hiring AI framework Interns for the Intel CAIGC team in Shanghai. CAIGC is a vibrant and energetic team filled with talent. We are looking for individuals who are eager to learn new things, embrace challenges, and demonstrate strong teamwork. Outstanding performers may have the opportunity to join Intel China full-time after graduation.
Responsibilities include but are not limited to:
• AI Technology Research and Validation: Conduct research on emerging AI technologies (e.g., model quantization, graph structure transformation), and deploy and optimize proof-of-concept (PoC) projects on Intel platforms.
• Large Language Model (LLM) Performance Evaluation and Tool Development: Perform performance testing on the latest LLMs on Intel platforms and develop functional modules for testing tools.
• Performance Analysis and System Optimization: Analyze performance test results, identify software bottlenecks (e.g., operator latency, memory usage), and propose optimization strategies to improve inference speed and resource efficiency.
Qualifications:
• Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related field
• Proficient in at least one programming language, such as Python or C/C++
• Experience with AI frameworks such as PyTorch and Hugging Face Transformers
• Experience with large language models and generative AI, with the ability and willingness to learn quickly
• Strong communication skills and a collaborative mindset
• Available to work 4-5 days per week, with a minimum internship duration of 3 consecutive months
Job Type:
Student / Intern
Shift:
Shift 1 (China)
Primary Location:
PRC, Shanghai
Additional Locations:
Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
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.
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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.