AV Senior Engineer: Path planning

Aidoptation; Sint-Truiden; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

AIDOPTATION, located in Sint-Truiden, Belgium, is looking for a skilled engineer to lead the development of path and trajectory planning for autonomous driving. This role focuses on designing effective motion strategies that ensure safety and precision in high-speed scenarios.

The ideal candidate will possess a PhD or MSc with considerable industry experience, proficiency in C++, and a commitment to innovative solutions in the fast-paced startup environment.

Fluency in English is required, and knowledge of Dutch is beneficial. Applicants must have the right to work in the EU, as visa sponsorship is not available.

Qualifications

• PhD with 2+ years of industry experience or MSc with 5+ years in Robotics or related.
• Strong background in motion planning and optimization under real-time conditions.
• Proficiency in modern C++ and comfortable in Linux environments.

Responsabilités

• Lead the development of path and trajectory planning for highway autonomy.
• Design planning solutions for lane keeping, lane changes, and obstacle avoidance.
• Implement real-time planning algorithms effectively.

Connaissances

Motion planning and optimization

Modern C++

Software engineering practices

Linux environments

Fluent English

Robotics

Formation

PhD with 2+ years industry experience or MSc with 5+ years

Outils

ROS 2

Description du poste

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.

What You Will Do

In this role, you will lead the development of path and trajectory planning for high-speed highway autonomy, with responsibility for generating safe, feasible, and high-quality motion under real-world system constraints. You will design planning solutions for core highway behaviors such as lane keeping, lane changes, obstacle avoidance, and safety‑critical fallback maneuvers, with particular emphasis on robustness to perception uncertainty, localization error, and timing imperfections. You will implement real‑time planning algorithms across sampling, optimization, lattice, and MPC‑based methods, and ensure they operate effectively within production compute budgets. Working closely with controls and vehicle integration, you will translate planning intent into dynamically feasible trajectories that respect curvature, jerk, and actuation limits while maintaining smooth and predictable behavior on the vehicle.

Requirements

Must‑Haves

• PhD with 2+ years of equivalent industry experience or MSc in Robotics, Computer Science, Control, or similar, with 5+ years of equivalent industry experience
• Strong background in motion planning and optimization, including constraints, numerical stability, and real‑time considerations.
• Proficiency in modern C++ with solid software engineering practices (testing, CI, profiling).
• Experience building or deploying planning systems in robotics, ADAS, or autonomous driving.
• Comfortable in Linux environments and ROS 2.
• Driving license valid in the EU.
• Startup mentality: ownership, speed, 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 uncertainty‑aware planning, probabilistic safety, or formal verification methods.
• Exposure to vehicle dynamics constraints, tire limits, and controller integration.
• Experience with OpenDRIVE/OpenSCENARIO, scenario‑based testing, or simulation platforms.
• Familiarity with functional safety concepts (ISO 26262) and SOTIF (ISO 21448).