Autonomous Vehicle Data Platform Engineer — Equity Eligible

Lucidmotors

Southfield (MI)

On-site

USD 120,000 - 160,000

Full time

11 days ago

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Benefits offered by this job

Equity program

Job summary

Lucid Motors is seeking 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 suits engineers who enjoy solving distributed systems and data infrastructure problems, working across the full lifecycle from service development to production

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
  • 3+ years of professional software engineering experience.
  • Strong Python development experience.
  • 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.

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.

Skills

Python
Distributed systems
Data pipelines
Backend services
Event-driven systems
Autonomous vehicle data
Collaboration

Education

Bachelor's degree in Computer Science/Engineering

Tools

AWS
Kubernetes
Airflow

Job description

Lucid Motors is seeking 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 suits engineers who enjoy solving distributed systems and data infrastructure problems, working across the full lifecycle from service development to production

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