AV Junior Engineer: Path Planning

AIDOPTATION; Sint-Truiden; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A leading technology company in Sint-Truiden, Belgium, is seeking an experienced engineer to develop trajectory planning components for highway scenarios, focusing on safety and performance. The ideal candidate has an MSc in Robotics or Computer Science, along with 2+ years of experience, and strong skills in C++ and Python. Responsibilities include implementing planning algorithms and collaborating with control teams, requiring a startup mentality and fluency in English. Occasional travel may be needed for testing campaigns.

Qualifications

• 2+ years of relevant industry or research experience.
• Good fundamentals in motion planning and real‑time implementation.
• Driving license valid in the EU.
• Startup mentality: ownership, speed, and high standards.

Responsabilités

• Contribute to the development of trajectory planning components for highway scenarios.
• Implement real‑time planning algorithms under compute constraints.
• Collaborate with vehicle dynamics and control teams.

Connaissances

Motion planning fundamentals

C++ programming

Python programming

Linux proficiency

ROS 2 familiarity

English fluency

Formation

MSc in Robotics, Computer Science, Control, or similar

Description du poste

Role Description

In this role you will contribute to the development of trajectory planning components for highway scenarios, including maneuvers such as lane keeping, lane changes, and obstacle avoidance. You will work on planners that remain robust under imperfect perception, localization uncertainty, and system latency, while maintaining explicit safety margins.

You will help implement real‑time planning algorithms, such as sampling‑based, optimization‑based, or lattice‑style methods, with attention to compute constraints. The role also involves supporting validation through scenario suites, KPIs, and regression testing using simulation and recorded vehicle data.

You will collaborate closely with vehicle dynamics and control teams to ensure generated trajectories are feasible, smooth, and safe at highway speeds. The role includes participation in on‑vehicle testing, edge‑case analysis, and rapid iteration to improve system performance. Success in this role means contributing measurable improvements in core scenarios and increasing robustness under real‑world conditions. Occasional travel may be required depending on test campaigns.

Requirements

Must‑Haves

• MSc in Robotics, Computer Science, Control, or similar.
• 2+ years of relevant industry or research experience.
• Good fundamentals in motion planning, constraints, and real‑time implementation considerations.
• Proficiency in modern C++ and Python with solid software engineering practices.
• Comfortable in Linux environments and ROS 2 (required).
• Driving license valid in the EU.
• Startup mentality: ownership, speed, and high standards.
• Fluent English (Dutch is a plus).

Nice‑to‑Haves

• Exposure to uncertainty‑aware planning or safety margin design.
• Experience with scenario‑based testing or simulation platforms.
• Basic understanding of vehicle dynamics constraints and controller integration.
• Familiarity with OpenDRIVE or OpenSCENARIO formats.