Join Arriver Software GmbH's Data Management team in developing cutting-edge cloud and on-premises solutions for ADAS (advanced driver assistance systems) and autonomous driving testing. As a Data Engineer with a machine learning focus, you'll be part of a team creating highly scalable, efficient data platforms for re-simulation pipelines and ML workloads.
The role combines deep learning expertise with big data engineering, requiring experience in both ML frameworks and cloud infrastructure. You'll work with international teams, including automotive OEMs and Qualcomm colleagues worldwide, solving complex problems in autonomous vehicle development.
The position demands strong technical skills across multiple domains: Python, ML frameworks, cloud platforms (AWS/Azure/GCP), big data tools (Hadoop, Spark), and container orchestration (Docker, Kubernetes). You'll be responsible for developing and maintaining cloud applications, implementing state-of-the-art concepts, and collaborating on international customer projects.
The ideal candidate brings 4-6+ years of hands-on experience in big data and cloud platforms, along with strong ML expertise. You'll need excellent problem-solving abilities and strong communication skills to work effectively in a global team environment. The role offers competitive compensation, career growth opportunities, and comprehensive benefits including stock purchase programs and retirement provisions.
Working at Arriver Software GmbH means joining a cutting-edge team pushing the boundaries of autonomous driving technology, with opportunities to impact the future of transportation through innovative data solutions and machine learning applications.