Expert Map Generation Engineer - Self-Driving

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

Zusammenfassung

A pioneering electric vehicle company located in Frankfurt is seeking a Senior Map Generation Engineer to enhance mapping and localization for self-driving vehicles. This role involves developing algorithms that ensure safe navigation of autonomous vehicles by integrating multi-sensor data. The ideal candidate has a Master’s or PhD in a technical field, 5+ years of experience, and proficiency in Python and C++. Opportunities to collaborate with industry-leading professionals are available.

Qualifikationen

• 5+ years of industry experience in related field.
• Strong problem‑solving skills under real‑world conditions.
• Experience in ADAS or autonomous driving systems is a plus.

Aufgaben

• Develop and optimize mapping algorithms using multi-sensor data.
• Collaborate with teams to integrate mapping outputs into autonomy stack.
• Research techniques in deep SLAM and neural implicit representation.

Kenntnisse

Localization

Mapping

SLAM (visual, LiDAR, or multi-sensor)

Deep learning

Python

C++

3D computer vision

Geometric deep learning

Multi-sensor calibration

Ausbildung

MSc/ PhD in Computer Science, Robotics, Electrical Engineering or related field

Tools

PyTorch

TensorFlow

Jobbeschreibung

Expert Map Generation 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 Map Generation Engineer to advance our online and offline mapping and localization capabilities for self-driving vehicles. In this role, you will design, develop, and deploy algorithms that dynamically generate, update, and maintain high-quality maps directly from multi-sensor data. Your work will ensure our autonomous vehicles navigate safely and reliably using generated maps, enabling robust performance in dynamic, real-world environments.

• Develop and optimize mapping algorithms that fuse data from LiDAR, radar, cameras, and GNSS/IMU to generate semantic, geometric, and topological maps
  
• Collaborate with perception, prediction, and planning teams to integrate mapping outputs into the full autonomy stack
  
• Research and apply state-of-the-art techniques in deep SLAM, neural implicit representation to support map generation
  
• Design and implement large-scale map generation workflows, leveraging both real-world and simulated datasets
  
• Optimize models and algorithms for deployment on automotive embedded platforms with real-time performance constraints
  
• Work with validation and simulation teams to validate mapping and localization algorithms at scale
  
• Drive engineering excellence by ensuring high-quality, modular, and tested code
  
• Contribute to the research community through publications or open-source contributions in mapping and localization for autonomous driving
  

Requirements

• MSc/ PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field and 5+ years of industry experience
  
• Strong background in localization, mapping, and SLAM (visual, LiDAR, or multi-sensor)
  
• Experience with deep learning–based approaches for mapping and localization (e.g., neural SLAM, implicit representations, deep visual odometry)
  
• Proficiency in Python and C++, with hands‑on experience in ML frameworks such as PyTorch or TensorFlow
  
• Familiarity with 3D computer vision, geometric deep learning, and multi-sensor calibration
  
• Familiarity with probabilistic state estimation (Kalman filters, particle filters , graph optimization )
  
• Track record of bringing research concepts into production-ready solutions
  
• Strong problem‑solving skills and ability to deliver robust algorithms under real‑world conditions
  
• Nice to have: Experience in ADAS or autonomous driving localization/mapping systems
  
• Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain.
  

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