System Design Engineer - AI & Automation, LIGHT
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System Design Engineer - AI & Automation, LIGHT
Location
Cairo
Experience
Mid
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
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
**Job:**
AI4all, Engineering Disciplines
**Organization:**
GTSC Software
**Schedule:**
Full time
**Employee Status:**
Regular
**Job Type:**
**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 developmentMore information on Valeo: [https://www.valeo.com](https://www.valeo.com/)*
Key Responsibilities
- Design and implement AI workflows bridging Systems Engineering and downstream disciplines.
- Develop and deploy Physics-Informed Machine Learning models to accelerate simulations.
- Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline.
- Build predictive analytics dashboards for Technical Project Managers to forecast risks and delays.
- Ensure AI-automated processes adhere to ISO 26262 and ISO/SAE 21434 standards.
- Lead the integration of AI agents with existing toolchains including PLM, ALM, and MATLAB/Simulink.
Skills Required
PythonJavascriptGoogle Apps ScriptGoogle DocsGoogle SheetsHTTP REST APIsGenerative AILLMsPredictive ModelingComputer VisionData Pipeline ConstructionData Quality AssuranceWorkflow OrchestrationCodebeamerGoogle Cloud PlatformMATLABSimulinkPLMALMCommunicationCollaborationAutonomyProactive workAnalytical mindsetProblem solvingUser-oriented mindsetTime managementLow-code/no-code platformsAI-assisted automationPredictive Project AnalyticsSystem engineering lifecycleAutomotive industry knowledgeEmbedded systems
Benefits
- Career growth opportunities
- Multi-cultural environment
- International collaboration
- Sustainable development focus
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