Software Engineer, Data Infrastructure
Lucid Motors · Southfield, MI
About this role
**Software Engineer, Data Infrastructure** **About the Team** The ADAS Data Infrastructure team builds and operates foundational systems powering autonomous vehicle development. We create scalable platforms, services, and data pipelines that ingest, process, store, and serve large-scale sensor data from vehicle fleets to engineering teams across the company. **The Role** Design, develop, and operate high-scale data pipelines and backend services responsible for processing and managing large-scale sensor datasets, including camera, LiDAR, and vehicle telemetry data. This role is ideal for engineers who enjoy solving challenging distributed systems and data infrastructure problems, working across the full lifecycle from service development to production operations. **Key Responsibilities** • Design, build, and maintain backend services and data pipelines for ingesting, processing, storing, and serving sensor datasets • Develop reliable and scalable systems using Python and AWS cloud services • Build APIs, data services, and tooling for efficient access to autonomous vehicle data • Improve platform reliability, observability, performance, and operational efficiency • Own production services and participate in troubleshooting and incident response • Collaborate cross-functionally to understand requirements and deliver scalable solutions • Optimize storage, compute, and data movement costs while maintaining performance • Support CI/CD, infrastructure automation, and operational excellence **Required Qualifications** • Bachelor's degree in Computer Science, Computer Engineering, or related technical field (or equivalent experience) • 3+ years of professional software engineering experience • Strong Python development experience • Experience building and operating backend services, distributed systems, or large-scale data platforms • Professional experience with AWS and Kubernetes • Experience with Airflow or other workflow orchestrators • Experience designing data pipelines, ETL systems, or data processing frameworks • Experience with containerized applications, microservices, and event-driven systems **Preferred Qualifications** • Strong ownership mindset with ability to drive projects from design through production • Experience building distributed systems processing large-scale datasets in cloud environments • Background in autonomous driving industry, specifically backend and cloud development **Compensation & Benefits** Comprehensive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; 401(k) retirement plan; equity program eligibility; and discretionary annual cash incentive program. **Equal Opportunity Employer** Lucid Motors is committed to equal employment opportunity and an inclusive workplace for all.
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