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DCAI Customer Engineer - Thermal Intern

Intel

DCAI Customer Engineer - Thermal Intern

Intel

Taiwan, Taipei

·

On-site

·

Internship

·

5d ago

Job Details:

Job Description:

This is a one-year internship.

  • As a Customer Engineer

  • Thermal intern:

    • You will be working with experienced Intel engineers on exploring the opportunities to further optimize thermal mechanical solutions for next generations AI server platforms, and pathfinding new methodologies to address the thermal challenges for future AI systems and racks.
  • You'll also have opportunities to participate industry conferences and support ecosystem enablement activities to connect with MNCs, ODMs, and key component/solution suppliers.

Qualifications:

  • Master's in mechanical engineering, Mechatronics Engineering or related field preferred.

  • Familiar with Thermal/Mechanical simulation/computing analysis and related development tools such as Pro-E, ABAQUS, Flotherm, Ice Pak, 6-Sigma, etc.

  • Good programming skills in python and familiar with software development process and development tools like git is a plus.

  • 1 year internship program. Full time- 40 working hours weekly in July and Aug 2026, and Part time- 24 hours per week for the remainder of 10 months (in Sep 2026 - June 2027).

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

Intel

Public

Intel 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