Sr Engineer- Auto DSF

Qualcomm is seeking a Senior Cloud Data Management Engineer (DevOps) to join their team in building a next-generation data processing platform supporting Autonomous Driving R&D efforts. This role is crucial in designing and implementing a highly scalable, efficient, and modular data platform that will enable engineers to run re-simulation pipelines, machine learning workloads, and perform in-depth data analysis.

The ideal candidate will have 3-7 years of experience in cloud infrastructure and DevOps practices, with strong expertise in containerization, infrastructure as code, and cloud-native technologies. You'll be working with cutting-edge technologies in the autonomous driving space, implementing solutions using tools like Kubernetes, cloud services (AWS/Azure/GCP), and various data processing frameworks.

Key responsibilities include architecting scalable solutions, implementing containerized workloads, and establishing DevOps best practices. You'll collaborate with cross-functional teams globally, working on everything from infrastructure automation to data pipeline development. The role requires strong programming skills in languages like Python, Go, or Java, and extensive experience with cloud platforms and container orchestration.

Qualcomm offers an excellent work environment with comprehensive benefits, including world-class health coverage, financial planning support, and continuous learning opportunities. You'll be part of a team pushing the boundaries of autonomous driving technology, working alongside industry experts in a company known for innovation in wireless technology and mobile platforms.

This position offers great growth potential and the opportunity to work on challenging problems in the autonomous driving space while building and maintaining critical data infrastructure. Join us in shaping the future of autonomous driving technology at Qualcomm.