Expert Motion Planning Engineer - Self-Driving

VinFast; Frankfurt; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading electric vehicle company in Frankfurt is seeking a Senior Motion Planning Engineer to design and implement algorithms for autonomous vehicles. The ideal candidate will have a strong background in motion planning and decision-making, with 5+ years of experience in robotics or related fields. Proficiency in Python and C++ is essential, along with familiarity with machine learning frameworks. This role provides an opportunity to contribute to pioneering technology in a dynamic environment with industry experts.

Qualifikationen

• 5+ years of relevant industry experience.
• Solid understanding of vehicle dynamics and control theory.
• Hands-on experience with performance optimization on embedded hardware.

Aufgaben

• Design and optimize motion planning algorithms for traffic scenarios.
• Integrate perception and mapping outputs into planning pipelines.
• Collaborate with cross-functional teams on autonomous driving.

Kenntnisse

Motion planning

Trajectory optimization

Decision-making methods

Python

C++

Reinforcement learning

Deep learning

Simulation-based development

Real-time systems

Problem-solving

Ausbildung

MS c /PhD in Robotics, Computer Science, Electrical or Mechanical Engineering

Tools

PyTorch

TensorFlow

CARLA

MATLAB/Simulink

Jobbeschreibung

Expert Motion Planning Engineer - Self-Driving

Frankfurt am Main, Germany | Posted on 11/06/2025

VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive industry with sustainable and innovative mobility solutions. As a leading player in the EV market, VinFast is dedicated to delivering high‑quality, cutting‑edge electric vehicles that redefine the driving experience. Our team consists of passionate professionals driven by a shared vision of creating a greener and more sustainable future through innovation, technology, and excellence.

We are looking for a Senior Motion Planning Engineer to design and implement the core algorithms that enable autonomous vehicles to make safe, efficient, and human‑like driving decisions in dynamic and uncertain environments. In this role, you will work at the intersection of decision‑making, trajectory generation, and control, collaborating closely with perception, prediction, map generation and controls teams to build a reliable, real‑time motion planning system for self‑driving.

• Design, develop, and optimize motion planning algorithms that handle complex, interactive traffic scenarios
• Formulate and implement trajectory generation methods that balance safety, comfort, and efficiency under real‑world driving conditions
• Research and apply state‑of‑the‑art planning methods, including optimization‑based approaches, probabilistic decision‑making, reinforcement learning, and imitation learning
• Integrate perception, prediction, and mapping outputs into planning pipelines for robust decision‑making
• Ensure real‑time performance of planning algorithms on automotive‑grade embedded hardware
• Contribute to the development of closed‑loop validation pipelines, including simulation, software‑in‑the‑loop, hardware‑in‑the‑loop, and on‑road vehicle testing
• Collaborate with multidisciplinary teams ( perception, prediction, map generation, controls, systems) to integrate planning algorithms into the self‑driving autonomy stack
• Stay current with advances in motion planning, decision‑making, and learning‑based approaches for autonomous driving
• Drive engineering excellence by writing clean, efficient, and well‑tested code

Requirements

• MS c /PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field with 5+ years of relevant industry experience
• Strong background in motion planning, trajectory optimization, and decision‑making methods (e.g., A*, optimization‑based planning, graph search etc.)
• Experience with reinforcement learning, imitation learning, or deep learning approaches for planning and control
• Proficiency in Python and C++, with familiarity in ML frameworks such as PyTorch or TensorFlow
• Solid understanding of vehicle dynamics, kinematics, and control theory
• Hands‑on experience with real‑time systems, performance optimization, and deployment on embedded automotive hardware
• Skilled in simulation‑based development and validation using tools such as CARLA or MATLAB/Simulink
• Strong mathematical foundation in optimization, linear algebra, probability, and statistics
• Excellent problem‑solving skills and ability to work in fast‑paced, collaborative environments
• Nice to have: Prior experience in self‑driving or ADAS development and familiarity with functional safety standards (ISO 26262, SOTIF)
• Opportunity to collaborate with and learn from industry‑leading professionals in the automotive domain.

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