AI & Automation Engineer, LIGHT
Indexed description
Responsibilities Cross-Disciplinary Automation~ Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
AI-Enhanced System Engineering~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
Predictive Project Management~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
Standards & Compliance~ Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
Toolchain Integration~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
Key competenciesTechnical Skills
AI and Machine Learning
- Generative AI & LLMs
- Predictive Modeling
- Computer Vision
- Data Pipeline Construction~ Automating the flow of data into AI models.
- Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
- Workflow Orchestration~ Using tools to connect AI outputs to other R&D software (like ELNs or LIMS).
- Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
- Python
- Javascript / Google Apps Script
- Google Docs / Sheets functions & automation
- HTTP rest API's
- Codebeamer (Requirement Management Tool)
- Google Cloud Platform
- AI & Data Handling~
- Basic to intermediate experience with AI tools, APIs, or AI agents
- Interest in applying AI to engineering processes
- Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
- Ability to work autonomously and proactively
- Analytical mindset with strong problem-solving skills
- User-oriented mindset (training, support, feedback handling)
- Time Managment
Experience with requirement traceability or compliance activities
Exposure to AI-assisted automation or low-code/no-code platforms
Physics-Informed Machine Learning (PIML)
Predictive Project Analytics
Understanding of system engineering lifecycle and deliverables
Aware About Automotive Industry And Embedded Systems.
Years of Experience 2 to 3 years experience in AI & tools development
Position~
AI4all, Engineering Disciplines
Département~
GTSC Software
Schedule~
Temps plein
Employee Status~
CDI
Type de contrat~
Job Posting Date~
2026-04-07
Join Us !
Being part of our team, you will join~
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
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