
Intel inside.
Workload optimization intern
Job Details:
Job Description:
Artificial Intelligence (AI) is transforming our lives and becoming ubiquitous. INTEL is at the heart of this revolution. We provide a robust software stack that seamlessly integrates into the frameworks used by millions of end-users worldwide. As our AI Engineering team in Shanghai continues to expand, we are looking for a passionate Graduate Technical Intern to help us deliver high-performance, high-quality deep learning solutions.
Your responsibilities will include:
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Performance Optimization: Optimizing key use cases and models, as well as debugging and resolving issues related to accuracy and memory management.
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Deployment Architecture: Designing and developing model deployment frameworks, such as leveraging new features in vLLM to accelerate inference.
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Kernel Development: Developing and debugging high-performance Kernels specifically for INTEL GPU/CPU.
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Architectural Alignment: Engaging in deep technical syncs with architects and peers to iterate on solutions and provide progress transparency.
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Innovation: Transforming innovative ideas into production-ready features.
Qualifications:
- Current Master’s or Ph.D. student in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
- Strong proficiency in C++ and Python programming.
- Solid understanding of Deep Learning fundamentals with proven practical experience.
Preferred Qualifications:
- Experience with LLMs, Multimodal models, or Agents, with a deep understanding of model architectures.
- Familiarity with Py Torch and high-performance inference frameworks like vLLM.
- Hands-on experience in GPU Kernel development (e.g., CUDA/Triton).
- Availability: Minimum 4 days per week with a commitment of 6 months or longer.
Job Type:
Student / Intern
Shift:
Shift 1 (China)
Primary Location:
PRC, Shanghai
Additional Locations:
Business group:
The Sales and Marketing Group (SMG) leverages the product portfolio to drive Intel's revenue growth and market expansion, blending strategic initiatives with dynamic sales efforts to capture and retain customers. SMG is responsible for empowering the sales force with tools and insights needed to close deals and build lasting customer relationships. Sales analytics and market research ensure strategies are both targeted and impactful. In SMG, disciplined execution, creativity, and ambition are celebrated, providing ample opportunities for career advancement and skill development.
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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About Intel

Intel
PublicIntel Corporation is an American multinational technology company headquartered in Santa Clara, California. It designs, manufactures, and sells computer components such as central processing units (CPUs) and related products for business and consumer markets.
120,000+
Employees
Santa Clara
Headquarters
$200B
Valuation
Reviews
10 reviews
3.4
10 reviews
Work-life balance
2.5
Compensation
4.0
Culture
3.5
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Innovative technology and projects
Collaborative supportive environment
Cons
Work-life balance challenges and long hours
Management issues and disorganization
High-pressure stressful environment
Salary Ranges
18 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Data Scientist Grade 5
0 reports
$122,406
total per year
Base
-
Stock
-
Bonus
-
$104,045
$140,767
Interview experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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