Autonomous Driving Systems Engineer - Real Road Testing

Aidoptation; Sint-Truiden; On-site; EUR 55,000 - 90,000; Full time

Job summary

Aidoptation is developing autonomous driving software for high-speed highway autonomy. The role spans planning-to-control, from trajectory planning through vehicle dynamics and control, with real-time algorithm design and the interface to actuators.

You will validate across simulation, SIL/HIL and on-vehicle testing, collaborating with planning, perception, localization and systems engineers to close the loop end-to-end, including hands-on vehicle integration and test campaigns.

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.

Responsibilities

• Work across the planning-to-control stack for highway autonomy, from trajectory planning through vehicle dynamics and control.
• 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.
• 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.
• Role includes hands-on vehicle integration, edge-case analysis, and test campaigns, with occasional travel depending on testing needs.

Skills

Motion planning

Vehicle dynamics control

Stability

Control theory

Kalman filtering

MPC control

C++

Python

MATLAB/Simulink

Linux

ROS 2

CAN bus

AUTOSAR

ISO 26262

Real-time systems

Embedded systems

SIL/HIL testing

Education

MSc in Robotics, Computer Science, Control, Mechanical, Automotive or similar

Tools

C++

Python

MATLAB/Simulink

ROS 2

Linux

CAN bus

AUTOSAR

ISO 26262

Job description

Aidoptation is developing autonomous driving software for high-speed highway autonomy. The role spans planning-to-control, from trajectory planning through vehicle dynamics and control, with real-time algorithm design and the interface to actuators.

You will validate across simulation, SIL/HIL and on-vehicle testing, collaborating with planning, perception, localization and systems engineers to close the loop end-to-end, including hands-on vehicle integration and test campaigns.