Software Test Engineer - Virtual ECU & Virtual Vehicle Simulation

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Lucid Motors

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Newark, CA, United States

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Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Job Title: Software Test Engineer — Virtual ECU & Virtual Vehicle Simulation

Job Description:
We are looking for an experienced Software Test Engineer / QA Engineer to join our team focused on ensuring the highest quality standards for our in-house simulation platform for automotive software virtualization. In this role, you will develop, implement, and maintain comprehensive testing strategies and tools to validate our simulation environment across multiple platforms (Windows, Linux, and QNX). The ideal candidate has a strong background in quality assurance for embedded systems, a keen eye for detail, and hands-on experience with automation, test frameworks, and continuous integration.

Key Responsibilities:

  • Test Strategy & Planning:
Develop and execute comprehensive test plans, test cases, and test scripts in simulation platform validation, ensuring robust coverage of functional, performance, and security requirements.
  • Tool and Framework Development:
Collaborate with development teams to design and integrate testing tools and frameworks that align with the in-house simulation platform, and work towards automating the validation of cross-platform code.
  • Automation & CI/CD Integration:
Design and implement automated test suites and integrate them within the continuous integration/continuous delivery pipelines, ensuring rapid feedback on simulation builds and updates.
  • Collaboration & Communication:
Work closely with software engineers, system architects, and other stakeholders to identify quality gaps and suggest improvements, ensuring that industry trends and best practices in automotive simulation and virtualization are incorporated.
  • Documentation & Reporting:
Document test cases, report findings, and track issues, ensuring clear communication of quality metrics to drive continuous improvement of the simulation platform.

Required Qualifications:

  • Bachelor's degree in engineering or related technical discipline is required.
  • Minimum of 3 years of experience in quality assurance, with a focus on embedded systems or automotive software testing.
  • Proficiency in designing and executing manual and automated test cases, including scripting experience in Python.
  • Experience with cross-platform testing, especially in Windows, Linux, and QNX environments.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker) for simulation environments.
  • Strong problem-solving skills and meticulous attention to detail.
  • Experience with version control systems (e.g., Git) and agile development methodologies.

Preferred Qualifications:

  • Master's degree or higher education in engineering or related technical field is preferred.
  • Experience with automotive design processes and quality standards such as ISO 26262 and ASPICE.
  • Knowledge of in-vehicle networking protocols (e.g., CAN, LIN, Ethernet) and familiarity with AUTOSAR standards.
  • Previous experience in developing and maintaining test automation frameworks for large-scale simulation systems.

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