Autonomous Vehicle System and Control Engineer

Aidoptation; Sint-Truiden; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

You will own vehicle integration, edge-case analysis and test campaigns, with occasional travel. Proficiency in C++/Python, ROS 2, Linux, and MPC is essential.

Qualifications

• MSc in Robotics, Computer Science, Control, Mechanical, Automotive or similar.
• Minimum of 2+ years of relevant industry or research experience.
• Experience across motion planning, vehicle dynamics control, stability, control theory, Kalman filtering and MPC control.
• Proficiency in modern C++ and Python, and/or MATLAB/Simulink, with disciplined software engineering and testing practices
• Comfortable in Linux environments and ROS 2 (required)
• Deep understanding of vehicle and tire dynamics.
• Startup mentality: ownership, speed, hands-on and high standards
• Fluent English (Dutch is a plus)
• Applicants must already have the right to work in the EU. Visa sponsorship is not available.

Responsabilités

• Work across the planning-to-control stack for highway autonomy.
• Design and implement real-time algorithms to keep the vehicle safe and stable at high speed.
• Validate across simulation, SIL/HIL and on-vehicle testing.
• Collaborate with planning, perception, localization and systems engineers to close the loop end-to-end.
• Travel occasionally depending on testing needs.

Connaissances

C++

Python

ROS 2

Linux

MPC control

Formation

MSc in Robotics or related

Outils

MATLAB/Simulink

CAN interfaces

Description du poste

Why Aidoptation?

At Aidoptation, we work on the hardest problems in autonomous driving: high-speed, safety-critical scenarios where precision and robustness matter. Our technology is proven at racing speeds and translated into real-world highway autonomy.

Role Description

In this role you will work across the planning-to-control stack for highway autonomy, from trajectory planning through vehicle dynamics and control. You will help design and implement real-time algorithms that keep the vehicle safe, stable, and predictable at high speed and build the interface between planning outputs and vehicle actuators. You will own validation across simulation, SIL/HIL and on-vehicle testing, working closely with planning, perception, localization and systems engineers to close the loop end-to-end. The role includes hands-on vehicle integration, edge-case analysis, and test campaigns, with occasional travel depending on testing needs.

Must-Haves

• MSc in Robotics, Computer Science, Control, Mechanical, Automotive or similar
• Minimum of 2+ years of relevant industry or research experience
• Experience across motion planning, vehicle dynamics control, stability, control theory, Kalman filtering and MPC control.
• Proficiency in modern C++ and Python, and/or MATLAB/Simulink, with disciplined software engineering and testing practices
• Comfortable in Linux environments and ROS 2 (required)
• Deep understanding of vehicle and tire dynamics.
• Startup mentality: ownership, speed, hands-on and high standards
• Fluent English (Dutch is a plus)
• Applicants must already have the right to work in the EU. Visa sponsorship is not available.

Nice-to-Haves

• Experience with hard real-time systems
• Experience and exposure to embedded systems software integration
• Experience with scenario-based testing or simulation platforms (SIL and basic HIL) and vehicle testing
• Basic understanding of vehicle dynamics constraints and controller integration
• Familiarity with CAN and automotive interfaces, plus timing and synchronization basics
• Familiarity with AUTOSAR and ISO 26262.
• Interest in high-performance vehicles and limit handling topics