How do I apply for the INTERN- MNAND Verification Engineer position at Micron Technology and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the INTERN- MNAND Verification Engineer role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the INTERN- MNAND Verification Engineer at Micron Technology?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Micron Technology provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

INTERN- MNAND Verification Engineer

Micron Technology

Found 2 months ago

Location

Arzano, Italy

Duration (Months)

6 Months

Time

Full-time

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

AI/ML
Python
verification
digital testing methods
embedded systems
hardware-software integration

Soft Skills

Ability to work in a team
communicate effectively
motivated
curious

Job Description

In support of MNAND activities, we are offering an internship opportunity in AI/MNAND in a multi-disciplinary team, engaged in the Managed NAND verification team locate in Arzano (NA). We are looking for a motivated and curious intern to join our engineering team. The project involves applying Artificial Intelligence methodologies to analyze the architecture , define test cases , assess coverage and and generate logical tests code to verify the behavior of internal algorithms.

Requirements

Bachelor degree in computer science or equivalent experience
Basic knowledge of AI/ML and programming (preferably Python)
Basic knowledge of verification and digital testing methods
Demonstrated interest or basic experience in leveraging AI-based tools for code analysis and interpretation
Basic knowledge of hands-on experience with embedded systems, with a focus on hardware-software integration
Ability to work in a team and communicate effectively

AI & Machine Learning

Applied Machine Learning

Nice to Haves

leveraging AI-based tools for code analysis and interpretation

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