Data Platform Architect - Autonomous Driving

Qualcomm is seeking an experienced hands-on Data Platform Architect to lead their Autonomous Driving initiatives. This role sits at the intersection of autonomous driving technology and big data, focusing on creating data pipelines to process Petabytes of data for AI systems. The position involves working with cutting-edge technologies including AWS Cloud, Kubernetes, and modern development tools while leading distributed teams across India, Sweden, Romania, Germany, and the US.

The ideal candidate will be responsible for architecting and maintaining the Autonomous Driving Data platform, both on-premises and in AWS Cloud. They will lead a Distributed Data Systems team while staying technically hands-on, working closely with data scientists and software engineers to optimize platform performance and ensure seamless integration of data workflows.

This is an exceptional opportunity to join a global leader in autonomous driving technology, working with state-of-the-art systems and contributing to the future of automotive innovation. The role offers competitive compensation, comprehensive benefits, and significant career growth potential within a collaborative, international environment.

The position requires deep expertise in data engineering, cloud technologies, and distributed systems, combined with strong leadership abilities. Successful candidates will have the opportunity to shape the future of autonomous driving technology while working with a diverse, talented team across multiple global locations.