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Lucid Motors

Software Engineer, Data Infrastructure

Lucid Motors is hiring a Software Engineer, Data Infrastructure. Level rates it ; you can apply on Lucid Motors.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • The posting mentions Python, AWS and data pipelines among its tools and skills.
  • Level classes it as a mid-level role.
  • Lucid Motors has 448 other open roles on Level.

AI in this role

Build and operate high-scale data infrastructure and pipelines to support autonomous vehicle development fleets.

pythonaws
data-pipelinesdistributed-systemsdata-infrastructuresensor-data

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.
  • Support CI/CD, infrastructure automation, and operational excellence across the platform.

 

Required Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
  • 3+ years of professional software engineering experience
  • Strong software development experience in Python.
  • Experience building and operating backend services, distributed systems, or large-scale data platforms.
  • Professional experience with AWS and deploying applications to Kubernetes clusters.
  • Experience with Airflow or other workflow orchestrators
  • Experience designing data pipelines, ETL systems, or data processing frameworks.
  • Experience developing containerized applications, backend microservices, and event-driven systems or data pipelines.
  • Past experience in the Autonomous Driving or automotive industry, specifically backend and cloud development.

 

Preferred Qualifications

  • Strong ownership mindset with the ability to drive projects from design through production operations.
  • Experience building distributed systems or data platforms that process large-scale datasets in cloud environments.
                  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.

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 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.  

Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. 

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.

Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. 

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. 

 

How we rate this

Software Engineer, Data Infrastructure at Lucid Motors rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data PipelinesDistributed SystemsData InfrastructureSensor DataPythonAWS

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where data pipelines was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where data infrastructure was part of your work. What did you do?
  4. Tell me about a project where sensor data was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Pipelines, Distributed Systems, Data Infrastructure, Sensor Data, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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