Expert or Senior Motion Prediction Engineer – Self-Driving

VinFast; Frankfurt; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading electric vehicle company is searching for a Senior Motion Prediction Engineer in Frankfurt. The role involves designing and deploying algorithms to predict the trajectories of road users, requiring strong expertise in machine learning, deep learning, and spatiotemporal modeling. Candidates should have at least 5 years of relevant experience and a Master's or PhD degree in a related field. The position promises opportunities to collaborate with top professionals in the autonomous driving domain, contributing to innovative vehicle solutions.

Qualifikationen

• 5+ years of industry experience in spatiotemporal modeling and trajectory forecasting.
• Strong foundation in machine learning and deep learning.
• Experience optimizing models for real-time inference on embedded systems.

Aufgaben

• Develop state-of-the-art deep learning models for motion prediction.
• Design and implement spatiotemporal architectures for trajectory forecasting.
• Collaborate with teams to ensure seamless integration into the autonomous driving stack.

Kenntnisse

Machine learning

Deep learning

Python

C++

Motion prediction models

Problem-solving

Ausbildung

MSc/PhD in Computer Science, Robotics, Electrical Engineering

Tools

PyTorch

TensorFlow

Simulation tools

Jobbeschreibung

Expert or Senior Motion Prediction 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 Prediction Engineer with deep expertise in spatiotemporal modeling and machine learning to join our autonomous driving team. In this role, you will design, develop, and deploy advanced algorithms that predict the future trajectories of surrounding road users, including vehicles, cyclists, and pedestrians. Your work will directly influence planning and decision‑making, enabling safe, efficient, and human‑like driving behavior in complex traffic environments.

• Develop state‑of‑the‑art deep learning models for motion prediction in multi‑agent, interactive driving scenarios
• Design and implement spatiotemporal architectures such as transformers, GNN, RNNs, or diffusion models for trajectory forecasting
• Fuse multi‑modal perception outputs from camera, LiDAR and radar sensors into robust prediction pipelines
• Build interaction‑aware and scene‑context models that account for traffic rules and social behaviors
• Optimize prediction models for real‑time performance on automotive embedded platforms
• Validate and benchmark models against large‑scale datasets and diverse simulation scenarios
• Collaborate closely with perception, mapping, planning, and other teams to ensure seamless integration into the autonomous driving stack
• Contribute to dataset curation, annotation strategies, and scenario design for motion prediction tasks

Requirements

• MSc/PhD in Computer Science, Robotics, Electrical Engineering or a related field with 5+ years of industry experience
• Strong foundation in machine learning and deep learning, with emphasis on spatiotemporal modeling and trajectory forecasting
• Proficiency in Python and/or C++, with experience in ML frameworks such as PyTorch or TensorFlow
• Hands‑on experience with motion prediction models (Transformers, LSTM, GNN, etc.)
• Familiarity with multi‑modal sensor fusion and tracking systems
• Solid understanding of vehicle dynamics, traffic flow modeling, and interaction‑aware prediction
• Experience optimizing and deploying models for real‑time inference on embedded systems
• Strong problem‑solving skills, ability to rapidly prototype, and track record of delivering production‑quality models
• Familiarity with planning and control pipelines, and how prediction interfaces with downstream modules
• Experience with simulation tools
• Nice to have: Experience in ADAS or autonomous driving motion prediction systems
• Opportunity to collaborate with and learn from industry‑leading professionals in the automotive domain.

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