AV Engineer: Autonomous Vehicle System and Control
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Before you apply
LocationSint-Truiden, Flanders, Belgium
Work modeon-site
Typefull-time
SeniorityMid
Experience2+ yrs
Company size4+ people
PostedSep 18, 2026 · 1mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
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
Applicants must already have the right to work in the EU. Visa sponsorship is not available
Skills
C++
Python
MATLAB
Simulink
ROS 2
Linux
CAN
AUTOSAR
ISO 26262
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.
Requirements
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