Valeo est une entreprise mondiale de haute technologie qui conçoit des solutions révolutionnaires pour réinventer la mobilité. Nous sommes un équipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilité dans le monde entier. Notre vision Inventer une mobilité plus verte et plus sûre, grâce à des solutions axées sur la conduite intuitive et la réduction des émissions de CO2. Nous sommes leaders dans nos domaines d'activité et reconnus comme l'une des plus grandes entreprises innovantes au monde.
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 competencies
Technical Skills
AI and Machine Learning
- Generative AI & LLMs
- Predictive Modeling
- Computer Vision
Data Engineering and Management
- 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.
Process Automation & Integration (MLOps)
- 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.
Programming & Scripting
- Python
- Javascript / Google Apps Script
- Google Docs / Sheets functions & automation
- HTTP rest API's
Tooling & ALM ( Plus Knowledge)
- Codebeamer (Requirement Management Tool)
- Google Cloud Platform
Automation & Integration concepts
- AI & Data Handling
- Basic to intermediate experience with AI tools, APIs, or AI agents
- Interest in applying AI to engineering processes
Soft Skills
- 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
Nice to Have
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
More information on Valeo https//www.valeo.com
