About Lucid
At Lucid we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucids 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 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 productionhappening in-houseacross our global offices the world united by a shared commitment to refusing to settle youcanhelpredefinewhatspossible andshape 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:
Bachelors 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 dont 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.
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