Verified from career page · Posted 2w ago
- Posted
- 2w ago
- Workplace
- On-site
- Salary
- Not disclosed
- Visa sponsorship
- No
Posted on 18 September 2026
Work model: On-site
Salary range not shared by the company
The posting states no sponsorship
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
About Aidoptation
Aidoptation builds high-speed autonomous vehicle software for industrial logistics, with engineering in Sint-Truiden, Belgium. An early-stage robotics company focused on perception and control for fast-moving autonomous systems.