AIDOPTATION

Aidoptation builds high-speed autonomous AI systems to enable autonomous operations across commercial, public safety, and defense-relevant environments. The company develops AI and machine learning software and robotics platforms delivered via a SaaS/subscription model and applied in motorsports, robotics R&D, and educational initiatives. Its technology stack centers on AI, machine learning, and robotics for real-time autonomy and safety-critical control. Offerings target industries that require high-speed autonomy, including commercial vehicles, police and first responders, and defense-related use cases. Aidoptation emphasizes safety, security, and sustainability and holds multiple patents and world records that support its position in the autonomous systems market.

AIAutonomousHigh-SpeedInnovationMobilityRoboticsSafetySustainabilityaidoptation.com

AIDOPTATION

AIAutonomousHigh-SpeedInnovationMobilityRoboticsSafetySustainabilityaidoptation.com

HQSint-Truiden, BE

Team Size6

Open Jobs3

Total Funding$29M

Latest Fundraise3 months ago

Join the Team

AV Engineer - Vehicle Dynamics Control

On-SiteSt-Truiden, Flemish Region, BE

On-Site • St-Truiden, Flemish Region, BE

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

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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. To succeed, we recruit the best engineers globally. We receive a high volume of applications and referrals and select for excellence and commitment alongside deep technical competence.

Role Description

We’re looking for an AV Engineer to design and own the vehicle dynamics control layer for high-speed automated driving. You’ll develop lateral and longitudinal control for trajectory tracking, stability, and safety-critical manoeuvres at high speed. This includes designing robust control architectures such as feedforward and feedback control, MPC, gain scheduling, and constraint handling, with clearly defined KPIs and safety envelopes. You’ll build and maintain the interface between planning outputs and vehicle actuators including steering, brakes, and powertrain, ensuring feasibility through rate limits, diagnostics, and fault handling. You own tuning, validation, and regression workflows across SIL, HIL, and vehicle testing, using repeatable procedures and measurable metrics. Working closely with planning, localisation, and systems engineers, you’ll help close the loop end-to-end. You’ll also contribute hands-on to vehicle integration, logging, data analysis, and track and road test campaigns.

Qualifications

MSc in Control, Mechanical, Automotive, Robotics, or similar, with 5+ years of equivalent industry experience, or a PhD with 3+ years of equivalent industry experience.
Strong fundamentals in vehicle dynamics, tire modeling, stability, and control theory.
Hands-on experience shipping control software in C++ and/or MATLAB/Simulink, with disciplined testing and calibration.
Experience with simulation and validation workflows (SIL/HIL) and real-vehicle testing.
Comfortable operating in Linux environments; experience with ROS 2 is a strong plus.
Driving license valid in the EU.
Startup mentality: hands-on, proactive, and ready to take ownership across domains.

Nice-to-haves

Experience with MPC toolchains, real-time optimization, or embedded targets.
Knowledge of functional safety processes (ISO 26262) and SOTIF (ISO 21448).
Experience with high-performance vehicles, motorsport, or limit-handling test programs.
Familiarity with CAN/CAN-FD, Automotive Ethernet, and time synchronization (PTP/NTP).

This is a full-time internal position and is not open to external consultants or service providers.

How to apply?

Send your CV and a short note about a hands-on project relevant to this role (links welcome) to info@aidoptation.com. Include your earliest available start date.