招聘
Job Details:
Job Description:
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Supports the development of integrated AI solutions through AI domain expertise in assisting in system design, performance benchmarking, and deployment of AI and/or machine learning solutions.
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Contributes to and collaborates with hardware and software teams to provide integrated solutions optimized for AI use cases, with a focus on reliability and scalability.
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Applies understanding of AI frameworks and customer requirements to influence solution development.
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As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands on experience and projects that support Intel business goals in a collaborative environment.
Qualifications:
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1-year internship: full-time (40 hrs/week) Jul
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Aug 2026; part-time (min. 24 hrs/week, 3 days on-site) Sep 2026 - Jun 2027
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Master’s or Bachelor’s degree in Computer Science, Information/Electronic Engineering, Electrical Engineering, or a related field
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Solid understanding on Machine learning, AI Tools and application, Gen AI (e.g.LLM), DevOps automation, design/deploy AI agent, Ray/vLLM for distributed LLM inference, Web Framework (React/Svelte)
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Familiar with Python/C/hugging face is preferred(basic knowledge of IA is a plus)
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Strong problem-solving and learning mindset with attention to detail.
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Able to do presentation and documentation in English
Job Type:
Student / Intern
Shift:
Shift 1 (Taiwan)
Primary Location:
Taiwan, Taipei
Additional Locations:
Business group:
At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.
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.
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 inside.
120,000+
Employees
Santa Clara
Headquarters
$200B
Valuation
Reviews
3.5
3 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
2.5
Career
2.5
Management
2.0
25%
Recommend to a Friend
Pros
Offers internship opportunities
Interview opportunities available
Cons
Major job cuts and layoffs
Spam emails after rejection
Poor communication practices
Salary Ranges
6 data points
Senior/L5
Senior/L5 · Advanced Field Service Engineering Data Analyst
1 reports
$132,904
total / year
Base
$102,234
Stock
-
Bonus
-
$132,904
$132,904
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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