Autonomous Vehicle System and Control Engineer

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

Why Aidoptation?

At Aidoptation, we develop autonomous driving software for high-speed (120kph) driving. Our EdgeDrive stack is built on deterministic, rule-based control and designed to avoid safety-critical situations before they arise. We hold the first authorisation to test Level 4 autonomy on public highways up to the speed limit. As a startup, we move fast and stay close to the technology, so your work ends up on real vehicles on real roads. Because of our roots in autonomous racing we build with precision and robustness.

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