Reference: INTRN1FY25

Type: Internship

Duration: 5–6 months

Internship – MSEE / Embedded Systems & Artificial Intelligence

As part of an ambitious R&D initiative at the intersection of industrial IoT and Artificial Intelligence, we are offering a graduate-level internship opportunity for an MSEE or final-year engineering student.

The internship focuses on the implementation of an AI engine designed to interpret data from a proprietary embedded system. The AI model will be deployed and executed on a secure private cloud server (e.g., AWS), using a customized Foundation Model (FM) pipeline.

The intern will contribute to:

• Modeling and interfacing with a real-world electronic system
• Structuring and processing data collected from the system for training purposes
• Training and integrating a Foundation Model on a cloud-based environment
• Creating a feedback loop between AI-driven interpretation and the physical connected object
• Evaluating the relevance and accuracy of AI responses in the context of real system behavior

This project offers a unique opportunity to explore the full implementation stack of an embedded AI engine—from data acquisition and RTOS-based firmware to server-side AI analysis and real-time system feedback.

Why We Insist on a Strong Electronics Background

As a company specialized in the design and testing of advanced electronic systems, we place strong emphasis on recruiting interns with solid electronics fundamentals. While this project includes high-level AI, cloud, and software aspects, its success depends on a solid grasp of how real circuits behave, how they are modeled, and how they interact with embedded intelligence.

We value candidates who demonstrate a firm understanding of:

• Transistor fundamentals (MOSFETs, BJTs, diodes)
• Circuit theory (Ohm’s law, impedance, filtering, etc.)
• Basics of RTL design and FPGA logic
• Use of laboratory instruments (oscilloscopes, multimeters, signal generators)
• Exposure to electronic simulation tools (e.g., Spectre, ADS, LTSpice, or equivalent)
• A strong academic track record (high GPA) in electronics and programming disciplines

Candidate Profile

• MSEE/Engineering school post-graduate student (final year). Undergraduate students may be considered with a limited scope
• Good programming skills (Python, C/C++, etc.)
• Experience with microcontrollers and solid knowledge of MCU architecture, memory management, operating systems, and communication protocols
• Mastery of basic electronic circuits
• Experience with electrical circuit simulation tools
• Comfortable with physical modeling using CAD tools
• Very good English communication skills (spoken and written)
• A strong will to learn and push boundaries
• Ability to work in structured, project-based environments
• Familiarity with version control systems (Git) is a plus
• PCB design experience is a plus

Miscellaneous

Location: 209 rue du Bouleau, 13109 Simiane-Collongue (France)