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Intern- mnand verification engineer

Arzano
Micron
Pubblicato il Pubblicato 21h fa
Descrizione

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Department intro

The team split in Arzano (NA) and Vimercate(MB) focuses on Managed NAND (MNAND) Verification activities, with a particular emphasis on automotive applications. The group works on multidisciplinary projects that combine expertise in electronics, computer sciences, and artificial intelligence. Starting from the architectural design, the team defines the verification strategy by outlining white-box, black-box, and architectural-level verification approaches. They then proceed to develop and execute the corresponding tests, followed by thorough data analysis.

Position overview

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.

Responsibilities

1. Define logical tests to verify internal algorithms.
2. Perform test coverage analysis on digital faults.
3. Analyze statistical usage cases and define coverage metrics.
4. Optimize the efficiency and effectiveness of logical testing versus statistical testing approaches.

Minimum Qualifications

5. Bachelor's degree in computer science or equivalent experience.
6. Basic knowledge of AI/ML and programming (preferably Python).
7. Basic knowledge of verification and digital testing methods.

Preferred Qualifications

8. Demonstrated interest or basic experience in leveraging AI-based tools for code analysis and interpretation.
9. Basic knowledge of hands-on experience with embedded systems, with a focus on hardware-software integration.
10. Ability to work in a team and communicate effectively.

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