Software Engineer, Data Infrastructure
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Role details
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Job description
Experteer Overview You join the ADAS Data Infrastructure team to build the data platform for autonomous vehicle development. You will design and operate high-scale data pipelines and backend services that ingest, process, and serve sensor data from fleets. You work with cross-functional teams to deliver reliable, scalable data solutions in a cloud-first environment. Your work directly supports data-driven development of autonomous vehicle technologies and accelerates Lucid’s mission to redefine mobility. Compensation / Benefits * 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 for 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 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 Tasks * 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 Key requirements * medical, dental, and vision insurance * life and disability coverage * paid time off * 401(k) retirement plan * equity program
Requirements
- analysis * Collaborate cross-functionally with internal and external teams to 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 Tasks * 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 aaaaaaaaaaab _ applications, backend microservices, and event-driven systems or data pipelines Key requirements * medical, dental, and vision insurance * life and disability coverage * paid time off * 401(k) retirement plan * equity program
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