Vehicle Data Collection Agent

Context

With the increasing complexity of vehicle architectures, efficient and structured diagnostic data collection is becoming essential. This internship aims to develop a configurable Onboard Diagnostic Data Collector capable of collecting, filtering, processing and storing data from vehicle ECUs and services to feed a centralized intelligent diagnostics and predictive maintenance platform.

Objective

Develop a configurable Onboard Diagnostic Data Collector capable of collecting, filtering, normalizing, processing and storing vehicle diagnostic data from multiple ECUs and services, and providing standardized, relevant data to a centralized intelligent diagnostics and predictive maintenance platform.

Scope of work

• Collect and centralize vehicle diagnostic data from multiple ECUs and services.
• Design a diagnostic history to store faults, events, vehicle states and contextual data.
• Develop a configurable symptom/diagnostic-data correlation database to capture diagnostic knowledge.
• Prototype and validate the overall solution using representative vehicle diagnostic scenarios.

Required skills

• Software development with Python and Rust/C++.
• Basic understanding of data structures, algorithms and databases.
• Knowledge of embedded systems and automotive diagnostics is a plus.
• Familiarity with vehicle communication protocols such as CAN/UDS is a plus.
• Analytical thinking, autonomy and technical curiosity.

Internship details

• Reference: 27-20.
• Position: 1 engineer intern.
• Duration: 6 months.
• Integration planned for early February 2027.
• Target profile: BAC+5 engineering student specializing in computer science, embedded systems, electronics or telecommunications.