Semiconductor Research Engineer

Intel is hiring a Semiconductor Research Engineer. Level rates it ; you can apply on Intel.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classes it as a junior role.
Intel has 865 other open roles on Level.
Posted in the last few days.

AI in this role

Job Details:

Job Description:

As a Semiconductor Research Engineer, you will drive hands-on research and competency development to advance Intel's future assembly packaging platform technologies. Using CFD/FEA simulation, you will define electronic packaging manufacturability and design optimization windows, solving complex technical challenges and delivering high-impact solutions that support Intel's technology roadmap.

Business Group
You will join the Advanced Design and Customer Enabling group in Intel Foundry, a global semiconductor manufacturing leader driving design innovation and high-density electronic packaging. The group leverages cutting-edge materials, processes, and computational techniques to deliver advanced packaging assembly technologies.

Key Responsibilities

Develop and implement Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) simulations for electronic packaging design assessment, and conduct research and core competency development to build predictive capabilities.
Apply scientific principles to develop and assess novel electronic packaging concepts ahead of physical prototyping till high volume manufacturing.
Build prototypes and conduct lab-scale experiments for visualization and validation.
Conduct parametric studies and propose innovative solutions for design optimization and performance improvement.
Lead external vendor engagements and mentor academic and industry research collaborations.

Qualifications:

Master's degree with 1 to 2 years of relevant experience or
PhD in Mechanical Engineering with expertise in CFD or FEA, and experience in design parametric studies and electronic packaging. Fresh graduates are encouraged to apply.
Proficiency in Fluent, Ansys, Abaqus, Python, MATLAB, and VS Code for analysis tool automation and AI integration.
Familiarity with design of experiments (DOE) and materials characterization techniques.
Fundamental understanding of flip-chip and advanced packaging anatomy and assembly processes.
Strong communication and collaborative problem-solving skills.
Experience in external collaborations and academic mentorship.
Hands-on research capability with disciplined execution and clear research vision.

Job Type:

Experienced Hire

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

Semiconductor Research Engineer at Intel rates 19 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.