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Autonomous Vehicle System and Control Engineer

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Onsite

Autonomous Vehicle System and Control Engineer

Aidoptation

Autonomous Vehicle System and Control Engineer

Skills

PythonMATLABLinux

1 month ago

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Important information


Location:

Sint-Truiden, Belgium

Work mode:

Onsite

Published on:

18 September 2026

What they need


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.

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

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