Facilities Engineering Intern Mechanical

Intel is hiring a Facilities Engineering Intern Mechanical. Level rates it ; you can apply on Intel.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classes it as an internship.
Intel has 826 other open roles on Level.
Posted in the last few days.

AI in this role

Job Details:

Job Description:

The Role and Impact As a Facilities Engineering Undergraduate Intern, you will play a key role in supporting the planning, implementation, and maintenance of Intel's cutting-edge building infrastructure and systems. You will engage in real-world projects that analyze operational processes, optimize energy usage, and ensure safety compliance. Your hands-on contributions will help improve efficiency and support facility expansion, directly impacting Intel's ability to operate effectively and innovate on a global scale. Business group You will join Intel Foundry, which drives innovation and operational excellence across Intel's manufacturing and facilities infrastructure. This group is dedicated to ensuring Intel's facilities meet the highest standards of performance, safety, and sustainability to enable groundbreaking technology advancements. As part of this collaborative and forward-thinking team, you will help shape Intel's future success while gaining valuable experience. Key Responsibilities - Assist in the planning, execution, and maintenance of facility infrastructure and systems. - Analyze operational processes, energy consumption, and compliance with safety standards. - Support facility layout design and expansion projects. - Collaborate with engineering teams to identify opportunities for efficiency improvements. - Learn and apply engineering concepts while contributing to projects that align with Intel's business goals.

Qualifications:

Minimum Qualifications
- Pursuing a bachelor's degree in mechanical engineering.
- Strong communication skills, both written and verbal, with the ability to work independently and collaboratively as part of a team.
- Enthusiasm for developing practical engineering solutions to support growth and innovation.

- Able to commit to a minimum internship period of 5 to 6 months, subject to university/college internship requirements and academic calendar.

We're looking for passionate individuals eager to explore their future careers and contribute to impactful projects in a dynamic and inclusive environment. Apply today to take the first step in building your career with Intel.

Job Type:

Student / Intern

Shift:

Shift 1 (Malaysia)

Primary Location:

Malaysia, Kulim

Additional Locations:

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.

How we rate this

Facilities Engineering Intern Mechanical at Intel rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.