The role involves designing AI workflows that bridge Systems Engineering with hardware, software, and mechanical disciplines to ensure seamless requirements traceability
Job Summary
The role involves designing AI workflows that bridge Systems Engineering with hardware, software, and mechanical disciplines to ensure seamless requirements traceability.
Candidates will develop and deploy Physics-Informed Machine Learning models to accelerate simulations in mechanics and electrotechnique within the automotive sector.
Join a global innovative company with over 20,000 R&D engineers committed to reinventing mobility through intuitive driving and reduced CO2 emissions.
Matching Summary
The role involves designing AI workflows that bridge Systems Engineering with hardware, software, and mechanical disciplines to ensure seamless requirements traceability.
Skills & Requirements
Must-have
Generative AI and LLMs experience
Python programming and scripting
Physics-Informed Machine Learning (PIML)
ISO 26262 functional safety compliance
Data pipeline construction and automation
Nice-to-have
Experience with requirement traceability
Knowledge of Codebeamer ALM tool
Understanding of system engineering lifecycle
Familiarity with low-code/no-code platforms
Interest in applying AI to engineering processes
Key Requirements
2 to 3 years experience in AI & tools development
Proficiency in Python and JavaScript
Compliance knowledge of ISO 26262 and ISO/SAE 21434