AI Data Engineer

Job Description

At Continental’s Budapest Artificial Intelligence Development Centre within the Autonomous Mobility business area, we develop next-generation automotive software to make automated driving safe, scalable, and cost-effective . We are seeking passionate and innovative professionals to shape the future of autonomous mobility.

Join one of our Data engineering team where we focus on building and maintaining high-performance data infrastructure to support the development of automated driving functions. We process data from multiple sensor modalities—including LiDARs, radars, and cameras —and ensure its quality, consistency, and usability across various downstream teams. This includes enabling large-scale automotive data labeling workflows , such as lane and object annotation , and supporting sensor calibration processes to ensure synchronized and accurate inputs. We develop scalable data pipelines that identify relevant driving scenarios and edge cases, enrich raw data with metadata, and ground truth information. We also tackle state-of-the-art challenges by automating complex processes such as label quality validation and data selection through intelligent, data-driven techniques. Our solutions are built on a cloud-native stack, primarily leveraging AWS and Python , to provide efficient access to structured, high-quality datasets for AI and perception system development.

Our work includes

• Processing and validating multimodal sensor data from LiDARs, radars, and cameras
• Developing automated data labeling pipelines and enrichment tools to extract edge cases
• Creating and managing searchable, high-quality datasets for training and validation of AI models
• Integrating all data solutions in a cloud-native stack using Python

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