Renault Group
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.
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.
Your Role
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.
Key Skills
Software development: 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
Talnivo calcule votre score de compatibilité CV ↔ offre et vous aide à l'améliorer avant de postuler.
Créer un compte gratuitVoir toutes les offres sur Talnivo