Senior SQA and Test Infrastructure Development Engineer

About Lucid

At Lucid we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucids 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 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 the world united by a shared commitment to refusing to settle youcanhelpredefinewhatspossible andshape the future of mobility.

Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test automation and validation systems that power our invehicle compute platforms embedded controllers and advanced driverassistance technologies. You will play a key role in ensuring that Lucids software and hardware meet the highest standards of safety reliability and performancesupporting everything from firmware development to largescale automotive validation.

This role sits at the intersection of DevOps embedded systems and automotive test engineering enabling fast safe and scalable development for the worlds most advanced electric vehicles.

What youll be doing

• Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows including crosscompilation ECU flashing and hardwareintheloop (HIL) validation
• Build internal tools and services that streamline embedded software testing firmware deployment and continuous integration for safetycritical systems
• Collaborate with Embedded Software Vehicle Integration and Test Engineering teams to design scalable test environments for Lucids invehicle compute modules and realtime embedded platforms
• Implement containerized and cloudnative systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
• Integrate automotivespecific workflows into CI/CD systems including static analysis MISRA compliance traceability and automated regression testing
• Develop monitoring logging and diagnostic tools to ensure high availability and performance of embedded test infrastructure
• Support and extend test frameworks used for ECU validation vehiclelevel testing and manufacturing test

What we need to see

• BS/MS in Computer Science Electrical Engineering Computer Engineering or related field
• 5 years of experience in DevOps embedded test infrastructure or automation tooling
• Strong proficiency in Python and experience with frameworks such as Flask or Django
• Experience with embedded Linux crosscompilation and deploying applications to embedded targets
• Familiarity with automotive communication protocols such as CAN bus or Automotive Ethernet
• Experience with HIL/SIL systems embedded test benches or automotive validation environments such as vector Tools
• Proficiency with version control systems such as GIT or GitLab
• Strong Linux knowledgedeployment debugging system monitoring and automation
• Familiarity with bash scripting and Linuxbased automation workflows

Ways to stand out from the crowd

• Background in deploying or maintaining embedded test automation systems including HIL rigs or ECU validation setups
• Experience with realtime operating systems (RTOS) or embedded firmware development
• Exposure to manufacturing test environments for automotive ECUs embedded boards or invehicle compute modules
• Familiarity with cloud platforms (AWS Azure GCP) and infrastructureascode tools such as Terraform or Ansible
• Passion for building robust CI/CD pipelines and developerfacing infrastructure for embedded systems

Bonus Qualifications Agentic AI Tools & Intelligent Automation

Lucid is increasingly leveraging agentic AI systems to accelerate development automate complex workflows and enhance test intelligence. Experience with any of the following is a strong plus:

• Building or integrating AIdriven DevOps agents for automated debugging test generation or pipeline optimization
• Experience with LLMpowered tools for code analysis anomaly detection or automated documentation
• Familiarity with AIassisted test case generation including reinforcementlearningbased or modelbased testing
• Experience using or developing autonomous agents that interact with CI/CD systems embedded hardware or cloud infrastructure
• Knowledge of AIdriven observability platforms for predictive monitoring log intelligence or automated rootcause analysis
• Understanding of agent orchestration frameworks such as LangChain LangGraph or similar tools
• Experience integrating AI agents with automotive workflows such as ECU flashing HIL orchestration or embedded diagnostics