At our ADAS Machine Learning Competence Center, we are working on the most innovative systems of modern times, the „eye” of autonomous driving. Our aim is to develop deep learning techniques that sense and understand the vehicle environment, based on single cameras or multi-sensor networks. We are looking for creative minds who are passionate to shape the future of autonomous driving and to bring deep learning techniques into our camera products: forward looking cameras, surround view cameras, high resolution 3D flash lidar, and sensor fusion systems.
The Deep Learning Data Team is responsible for providing the „fuel” of AI developments with covering different parts of the data workflow from the vehicle to the algorithm. We cover areas from data pipeline design / implementation through web-based data application development to operative data management and project support.
Position
The Data Solutions Architect is responsible for the high performance end-to-end ADAS data pipeline design and implementation in order to efficiently process our petabyte scale data asset.
Tasks
- Understanding the business requirements and use cases of the different user groups
- Architecture design of ADAS data pipeline / data lake and detailed understanding of relevant underlying technologies (in AWS environment)
- Collaboration with IT department / relevant user groups and other internal and external parties involved
- Document and promote concepts and implementation
- Being up to date with industry leading standards, patterns, processes and best practices
- Work in a cross-location development team
Requirements
- University degree (BSc, MSc) in a technical area: Computer Science, Electronics, Electrical Engineering or related
- At least 3 years of relevant job experience as a Senior Data Engineer / Architect
- Experience in Python (or other object oriented languages)
- Experience in (SQL / NoSQL) database management system architecture design and implementation
- Experience in high performance ETL / data pipeline design and implementation
- Experience with AD/ADAS use cases
- Proficiency with AWS technologies
- Good command of English language
- Collaborative, open-minded, team player attitude
More information:
Korim Anett HR Business Partner
anett.korim@continental-corporation.com