Automotive Validation Jobs in Arizona (NOW HIRING)

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 Lucid's software and hardware meet the highest standards of safety, reliability, and performance-supporting 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 world's most advanced electric vehicles.

What you'll 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 Lucid's 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 knowledge-deployment, 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