Software Engineer, Data Infrastructure

About the role

About Lucid

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

About the Team

The ADAS Data Infrastructure team builds and operates the foundational systems that power 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. We build the platforms and services that transform vehicle data into usable datasets for autonomous vehicle development.

The Role

We are looking for a software engineer to help build the data platform that supports autonomous vehicle development. You will 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. You will collaborate closely with internal customers to deliver reliable, scalable, and efficient solutions that enable data-driven development of autonomous vehicle technologies.

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 that enable efficient access to autonomous vehicle data.

- Improve platform reliability, observability, performance, and operational efficiency.

- Own production services and participate in troubleshooting, incident response, and root cause analysis.

- Collaborate cross-functionally with internal and external teams to understand requirements and deliver scalable solutions.

- Optimize storage, compute, and data movement costs while maintaining high performance and availability.

- Contribute to architecture discussions, code reviews, and engineering best practices.