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Salary
$53k – $155k per year (Estimated)
Location
In office (Sint-Truiden)
Overview
Company
Impact
Profile match
Autonomous high-speed physical AI will revolutionize how we move - on land, in the air, underwater. With numerous world records and multiple patents, we have led this field and continue to build on these achievements, delivering real commercial solutions that accelerate commerce and save lives.

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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