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Intel
Intel

Intel inside.

AI Compiler and Library Engineer - Intern

RoleMachine Learning
LevelIntern
LocationPRC, Shanghai
WorkOn-site
TypeInternship
Posted1 week ago
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Job Details:

Job Description:

Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardwaresoftware integration. May also include the creation of AI software solutions in partnership with internal product teams and external partners as well as systemlevel deployment to enable scalable and efficient AI solutions. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through handson experience and projects that support Intel business goals in a collaborative environment.

Qualifications:

Undergraduate or graduate students majoring in Computer Science or related fields
Familiar with the development and debugging of at least one programming language: C/C++/Assembly/Java/Python
Excellent written and verbal communication skills
Ability to proactively identify and resolve technical problems
Familiarity with mainstream deep learning frameworks, such as Tensor Flow and Py Torch

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

Intel

Public

Intel 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