Job description

Détail de l'offre

Informations générales

Entité de rattachement

Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.

Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s'engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l'Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.

Implanté au cœur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d'un large éventail de partenaires académiques et industriels en France, en Europe et à l'international.

Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :

• La conscience des responsabilités
• La coopération
• La curiosité

Référence

2024-34750

Description de l'unité

The LIST institute is part the CEA (French Alternative Energies and Atomic Energy Commission) Technology Research Division. CEA-LIST brings together nearly 1,000 scientists, engineers and technicians, expert in smart digital systems. We are committed to developing high-added-value innovations that respond to the major challenges facing our economy and society. This internship will take place in the Grenoble site of the CEA-List institute, in a research team focused on integrated circuits design for a variety of applications (e.g., cybersecurity, Internet of Things, artificial intelligence, emerging technologies).

Description du poste

Domaine

Sciences pour l'ingénieur

Contrat

Stage

Intitulé de l'offre

Implementation and Evaluation of Innovative Algorithms for Memory Testing in Integrated Circuits H/F

Sujet de stage

Testing is a fundamental phase during the design and production of integrated circuits. It ensures not only the quality of electronic chips but also compliance with security constraints required by many applications. Memory Built-In Self-Test (MBIST) is a widely used technique for testing circuit memories. It entails integrating extra hardware components around the memory, which is capable of efficiently performing testing operations on-chip.

Near Memory Computing (NMC) is emerging as a promising solution to accelerate processing and to reduce energy consumption in integrated circuits. To study this architecture, the Laboratory of Innovative and Mixed Functions has developed the Computational-SRAM (C-SRAM). Controlled by a processor, this SRAM memory is surrounded by logic that enables it to perform efficient computations, including vector-type operations. Current application domains include Artificial Intelligence (AI) and cryptography, particularly post-quantum cryptography (PQC).

Durée du contrat (en mois)

Description de l'offre

In this context, LFIM, in collaboration with the Laboratory of Computer Science, Robotics, and Microelectronics of Montpellier (LIRMM), has explored the testability of memories integrated into NMC systems, leveraging the existing computing capabilities in such architectures. As a result of the collaboration between these institutions, an initial theoretical study was conducted on the integration of MBIST algorithms into an NMC architecture.

In the next months, the team aims to implement and evaluate the proposed solution from the theoretical study on its C-SRAM module.

The intern’s primary responsibilities will include:
- Technology watch and state-of-the-art analysis of MBIST testing solutions and NMC architectures in the existing literature.

- Developing a microcontroller test program to implement an MBIST algorithm using the existing C-SRAM, which is not yet optimized for this application (MBIST software).

- Modifying the RTL code of the C-SRAM functional design to implement the solution proposed in the theoretical study (MBIST hardware).

- Evaluating the hardware and software MBIST implementations and comparing them with existing solutions in the literature.

To successfully complete this mission, the intern will have access to cutting-edge simulation, modeling, and exploration tools at CEA. Additionally, the intern will join a dynamic team at the heart of France's scientific ecosystem, fostering collaborations with key industrial and academic stakeholders in the field.

Desired profile

Profil du candidat

A final-year student pursuing an engineering diploma or a master’s degree in microelectronics, electronics, or embedded systems. The ideal candidate should exhibit proficiency in professional English communication, a strong interest in applied research, teamwork abilities, and the ability to work autonomously.

Preferred experience and/or skills:

- Knowledge of processor architectures.

- Familiarity with the design flow of digital circuits and logical simulation software.

Offers “CEA”