Engineering Manager, Data Infrastructure

Lucid Motors; Newark (CA); On-site; USD 188,000 - 276,000; Full time

Job summary

Lucid Motors is seeking an Engineering Manager to lead the data platform for autonomous vehicle development. You will guide high-scale data pipelines and backend services, collaborating with ADAS, ML, and platform teams to translate requirements into a clear roadmap.

You will grow and coach a team of software engineers, ensuring reliability, observability, and cost control while driving CI/CD and infrastructure automation across the platform.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8+ years of professional software engineering experience, including 2+ years managing or leading engineering teams.
• Strong background in Python and building/operating backend services, distributed systems, or large-scale data platforms.
• Experience with AWS, IaC tools (Terraform/OpenTofu), and deploying apps to Kubernetes.
• Experience with Airflow or similar workflow tools, designing data pipelines or ETL systems.
• Experience with containerized apps, microservices, and event-driven architectures.
• Proven ability to own production services, incident management, and operational metrics.
• Strong cross-team communication and stakeholder influence.

Responsibilities

• Lead, mentor, and grow a team of software engineers, including hiring and performance management.
• Own roadmap, prioritization, and delivery of data ingestion, processing, storage, and serving platforms.
• Support architecture for Python and AWS-based backends, review designs, and promote engineering best practices.
• Ensure reliability, observability, performance, and cost management of production services.
• Collaborate with internal customers (ADAS, perception, ML, data engineering) to turn needs into a roadmap.
• Manage budgets for storage, compute, and data movement; plan capacity.
• Drive CI/CD, infrastructure automation (IaC), and operational excellence.
• Plan resourcing and run planning; report status and risks to leadership.
• Stay hands-on in code/design reviews to guide technical decisions.

Skills

Python

Backend services

Distributed systems

Data platforms

AWS

CI/CD

Team leadership

Communication

Education

Bachelor’s degree in Computer Science/Engineering or related field

Tools

Terraform/OpenTofu

Kubernetes

Airflow

Python tooling

Job description

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 productionhappening in-houseacross our global offices andmanufacturingfacilities.Ourteamscomefromindustriesaround the world, united by a shared commitment to excellence.By refusing to settle, youcanhelpredefinewhat’spossible 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

• 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.

Equal Opportunity

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

Base Pay Range (Annual)

$188,400 — $276,320 USD

Compensation & Benefits

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 a401(k) retirementplan. 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.

Accessibility

Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com.

This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.

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To all recruitment agencies

Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.