Autonomous Vehicle System and Control Engineer

Aidoptation; Sint-Truiden; On-site; EUR 65,000 - 90,000; Full time

Job summary

In Belgium, Aidoptation is seeking a software- and systems-focused engineer to advance autonomous highway systems. You will work across planning to control, implementing real-time algorithms for high-speed, safety-critical scenarios and ensure robust integration with vehicle actuators.

You will validate through simulations, SIL/HIL, and on-vehicle tests, collaborating with planning, perception, localization and systems teams, with occasional travel for testing.

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.
• Design and implement real-time algorithms that keep the vehicle safe, stable, and predictable at high speed.
• Build the interface between planning outputs and vehicle actuators.
• Own validation across simulation, SIL/HIL and on-vehicle testing.
• Collaborate with planning, perception, localization and systems engineers to close the loop end-to-end.
• Hands-on vehicle integration, edge-case analysis, and test campaigns with occasional travel.

Skills

C++

Python

MATLAB/Simulink

ROS 2

Linux

Kalman filtering

MPC control

motion planning

vehicle dynamics

control theory

Education

MSc in Robotics/Computer Science/Control/Mechanical/Automotive

Tools

CAN

AUTOSAR

Job description

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