At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your role
As a Mechatronic Engineer specializing in Advanced Driver Assistance Systems (ADAS) Hardware in the Loop (HIL) testing, you will play a crucial role in developing and implementing advanced testing solutions for automotive systems. Working with a leading automotive manufacturer in Brussels, you will bridge the gap between mechanical, electrical, and software engineering to create robust validation environments for intelligent driver assistance technologies.
In this role you will play a key role in:
- Designing, developing, and implementing HIL test benches for automotive mechatronic systems and driver assistance components, ensuring they meet client specifications and industry standards
- Creating and executing test plans and procedures to validate complex control systems including sensors, cameras, radar, and lidar components
- Developing simulation models that accurately represent physical systems and driving scenarios for real-time testing environments
- Analyzing test results, documenting findings, and providing recommendations for system improvements and safety enhancements
- Collaborating with cross-functional teams including software developers, mechanical engineers, and client stakeholders to ensure seamless integration of advanced HIL testing systems
Your profile
- Master's degree in Mechatronics, Electrical Engineering, Mechanical Engineering, or a related technical field
- Minimum 2 years of experience in HIL testing, preferably in driver assistance technologies within the automotive industry
- Strong knowledge of automotive control systems, intelligent vehicle components (cameras, radar, lidar), sensors, actuators, and communication protocols (CAN, LIN, FlexRay)
- Proficiency with HIL testing tools and environments such as dSPACE, National Instruments, or ETAS for advanced automotive system validation
- Experience with programming languages such as C/C++, Python, or MATLAB/Simulink for test automation and model development
Demonstrated ability to troubleshoot complex mechatronic systems and identify root causes of issues in safety-critical applications
What you'll love about working here
- Hybrid working: We encourage flexibility when it comes to when and where works gets done. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.
- Communities: Our Framework drives career development and elevates Capgemini's capabilities across various domains. Roles like architects, software engineers, these communities form the pillars of our Engineering Career Framework, outlining the foundational elements and anticipated growth.
- Dedicated innovation labs: We help the world's largest innovators engineer the products and services of tomorrow by leveraging our experts and labs, dedicated to topics as 5G, 6G, AI, Autonomous Vehicles and Quantum.
- Environmental sustainability: Our teams around the world pave the way for a sustainable future from building electric cars (Citroen AMI), hydrogen cars (H2 Hydrogen Age) or solar airships to making offices green (Energy Command center).
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code
343213-en_GB
Posted on
14 Oct 2025
Experience level
Experienced Professionals
Contract type
Permanent
Location
Diegem
Business unit
Engineering and RandD Services
Brand
Capgemini Engineering
Professional communities
Products & Systems Engineering
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