Engineering Manager, Data Infrastructure

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. 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. Role We are looking for an Engineering Manager to lead the team that builds the data platform supporting autonomous vehicle development. You will set technical direction and own delivery and operations of high-scale data pipelines and backend services for camera, LiDAR, and vehicle telemetry data. You will grow and coach a team of software engineers, and partner with ADAS, ML, and platform customers to turn their needs into a clear roadmap. Lead, mentor, and grow a team of software engineers. This includes hiring, onboarding, performance management, career development, and feedback. Own the roadmap, prioritization, and delivery of data ingestion, processing, storage, and serving platforms. Support the architecture for Python and AWS-based backend services, APIs, and data tooling. Review designs and drive engineering best practices. Own the reliability, observability, performance, and cost of production services. Partner with internal customers (ADAS, perception, ML, and data engineering) and external vendors to gather requirements and set expectations. Manage storage, compute, and data movement budgets and capacity planning. Drive CI/CD, infrastructure automation (IAC), and operational excellence across the platform. Plan resourcing and run planning and execution rituals. Report status, risks, and progress to senior leadership. Build a culture of ownership, quality, and collaboration, and stay hands-on enough in code and design reviews to guide technical decisions. Qualifications Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. 8+ years of professional software engineering experience, including 2+ years managing or technically leading engineering teams. Track record of hiring, developing, and retaining high-performing engineers. Strong technical background in Python and in building and operating backend services, distributed systems, or large-scale data platforms. Experience with AWS, IAC Tools like Terraform / OpenTofu, and with deploying applications to Kubernetes. Experience with Airflow or similar workflow orchestrators, and with designing data pipelines, ETL systems, or data processing frameworks. Experience with containerized applications, microservices, and event-driven systems. Experience owning production services, incident management, and operational metrics. Strong communication skills, with the ability to work across teams and influence stakeholders. Preferred Experience in the autonomous driving or automotive industry, specifically backend and cloud development. Strong ownership mindset, with experience driving projects from design through production operations. Experience building distributed systems or data platforms that process large-scale datasets in cloud environments. Experience managing budgets or cloud cost optimization. Experience managing teams that serve ML or autonomy data workflows. At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (Annual) $188,400 - $276,320 USD Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans. #J-18808-Ljbffr Lucidmotors