System Design Engineer - AI & Automation, LIGHT

Reposted 6 Hours Ago
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Cairo, EGY
In-Office
Junior
Automotive
The Role
Design and implement AI workflows for seamless requirements traceability, develop Physics-Informed Machine Learning models, and integrate AI solutions into software development pipelines, ensuring compliance with industry standards.
Summary Generated by Built In

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 competenciesTechnical 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 development
More information on Valeo: https://www.valeo.com

Skills Required

  • 2 to 3 years experience in AI & tools development
  • Strong communication and collaboration skills
  • Ability to work autonomously and proactively
  • Analytical mindset with strong problem-solving skills
  • Experience with requirement traceability or compliance activities

Valeo US Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Valeo US and has not been reviewed or approved by Valeo US.

  • Fair & Transparent Compensation Fair & Transparent Compensation: Pay is positioned roughly in line with large automotive manufacturers’ ranges, with competitive bases described for engineers, technicians, and select salaried roles.
  • Healthcare Strength Healthcare Strength: Medical coverage uses major carriers such as Blue Cross/Anthem, and premiums are described as reasonable for many roles, alongside core offerings like life insurance and an employee assistance program.
  • Retirement Support Retirement Support: A 401(k) with employer match around 5% is referenced, with structures that have included automatic contributions plus match depending on location and time, and current postings list 401(k) matching as a core benefit.

Valeo US Insights

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The Company
HQ: Paris
32,700 Employees
Year Founded: 1923

What We Do

Valeo is an automotive supplier and partner to all automakers worldwide. As a technology company, Valeo proposes innovative products and systems that contribute to the reduction of CO2 emissions and to the development of intuitive driving. In 2020, the Group generated sales of 16.4 billion euros and invested 12% of its original equipment sales in Research and Development. At December 31, 2020, Valeo had 187 plants, 20 research centers, 43 development centers and 15 distribution platforms, and employed 110,300 people in 33 countries worldwide. Valeo is listed on the Paris Stock Exchange.

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