Ap26 - Bac + 5 - Ingénieur Véhicule Embarqué (h/f)

Renault Group

Remote
Remote
Can fd frame decoding and analysis
Python/matlab development
Ai applied to time series
Renault Group is seeking a Vehicle Embedded Engineer for a 12-month internship focused on analyzing and developing methods for decoding CAN FD frames from electric vehicles. The ideal candidate should possess knowledge in electric vehicles, CAN networks, and programming skills in Python or MATLAB

Job Summary

  • Develop an intelligent method for decoding and analyzing CAN FD frames from competitor electric vehicles to compare their behavior with Renault vehicles.
  • Analyze electric vehicle CAN/CAN FD networks and develop Python/MATLAB tools to decrypt, classify, and interpret signals.
  • Implement AI approaches applied to time series to identify vehicle behavior patterns and contribute to the comparison of Renault electric vehicles against competitors.

Matching Summary

Match Score: 85

Renault Group is seeking a Vehicle Embedded Engineer for a 12-month internship focused on analyzing and developing methods for decoding CAN FD frames from electric vehicles. The ideal candidate should possess knowledge in electric vehicles, CAN networks, and programming skills in Python or MATLAB.

Skills & Requirements

Must-have

  • CAN FD frame decoding and analysis
  • Python/MATLAB development
  • AI applied to time series
  • Electric vehicle CAN/CAN FD networks
  • CANalyzer/CANoe tools

Nice-to-have

  • Interest in automotive and vehicle testing
  • Teamwork and technical investigation skills

Key Requirements

  • Engineering cursus
  • 12-month apprenticeship
  • Knowledge of electric vehicles, electric GMP, or automotive embedded systems
  • Proficiency in Python and/or MATLAB
  • Notions in AI applied to signals

Work Rights

Not specified

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