Engineering Manager, Data Infrastructure
About The Position
Lucid’s ADAS Data Infrastructure team builds and operates foundational systems for autonomous vehicle development. It creates scalable platforms, services, and pipelines to ingest, process, store, and serve large-scale sensor data from vehicle fleets to engineering teams. The Engineering Manager will lead the team building the data platform that supports autonomous vehicle development. The role sets technical direction and owns delivery and operations of high-scale data pipelines and backend services for camera, LiDAR, and vehicle telemetry data. It includes growing and coaching software engineers and partnering with ADAS, ML, and platform customers to turn their needs into a clear roadmap. The manager will guide technical decisions through code and design reviews while promoting ownership, quality, and collaboration.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
- At least 8 years of professional software engineering experience, including at least 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, infrastructure-as-code tools such as Terraform or OpenTofu, and 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 and ability to work across teams and influence stakeholders.
Nice To Haves
- Experience in the autonomous driving or automotive industry, specifically backend and cloud development.
- Strong ownership mindset and 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 optimizing cloud costs.
- Experience managing teams that serve ML or autonomy data workflows.
Responsibilities
- Lead, mentor, and grow a team of software engineers, including 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 of 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, including ADAS, perception, ML, and data engineering, and with external vendors to gather requirements and set expectations.
- Manage storage, compute, and data movement budgets and capacity planning.
- Drive CI/CD, infrastructure automation, 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 participate in code and design reviews to guide technical decisions.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life and disability coverage
- Paid time off
- Paid holidays
- Paid sick leave
- 401(k) retirement plan
- Eligible employees may participate in the company equity program and/or a discretionary annual cash incentive program.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
