Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2024, Continental generated preliminary sales of €39.7 billion and currently employs around 190,000 people in 55 countries and markets.

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 camerasDeveloping automated data labeling pipelines and enrichment tools to extract edge casesCreating and managing searchable, high-quality datasets for training and validation of AI modelsIntegrating all data solutions in a cloud-native stack using Python

Your Tasks

Design, develop, and maintain high-performance data pipelines tailored to automotive datasetsCollaborate closely with AI engineers, perception experts, and labeling teams to enable data-driven developmentProcess and filter sensor data to extract meaningful scenarios and enrich datasets for model trainingImplement cloud-native solutions (AWS-based) for efficient data storage, processing, and accessApply your understanding of sensor calibration, automotive labeling standards, and data quality validationContinuously improve data workflows, from ingestion to consumption, by turning requirements into production-ready solutions

QualificationsBSc/MSc in Computer Science, Electrical Engineering, or a similar field—or equivalent professional experience3+ years of experience in software development, preferably in data-intensive environmentsExperience in automotive data labeling workflows, such as lane annotation, object tracking, or ground truth generationPractical experience working with multimodal sensor data (LiDAR, radar, camera)Understanding of sensor calibration techniques and data synchronizationStrong Python programming skillsGood written and spoken EnglishComfortable working independently and as part of an international, cross-functional team

Nice to Have

Experience with AWSFamiliarity with agile software developmentBackground in machine learning or AI-based perception systems

Additional Information

What We Offer

Participation in exciting, highly innovative projects.Personal career development and a challenging role with end-to-end responsibility.Ability to directly deliver software into real products.Opportunity to see your ideas turn into reality with our test vehicle.Continous development with access to numerous trainings, including technical skills, soft skills and language skills.A friendly, respectful and collaborative work environment that encourages creativity and innovation.Competitive compensation and a wide range of benefits, including:Private health insuranceBonus systemEmployee discountsSport pass supportEasily accessible office location in downtown Budapest (near Kálvin square). 

Ready to drive with Continental? Take the first step and fill in the online application.