Staff QA and Test Infrastructure Development Engineer
- Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
- Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
- Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
- Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
- Integrate automotive‑specific 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, vehicle‑level testing, and manufacturing test
- BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
- 8+ 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, cross‑compilation, 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 Linux‑based automation workflows
- Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
- Experience with real‑time operating systems (RTOS) or embedded firmware development
- Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
- Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
- Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems
- Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
- Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
- Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
- Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
- Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause 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
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