Lucid Motors
Engineer, System SW Verification Test
3 months ago
About the Job
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.
Responsibilities:
Work with system engineers & SW developers to identify, generate and implement test cases and verification criteria for Powertrain domain controllers under test
Work with test manager to configure test setups and test runs according to the test plan
Develop test automation, automate test tools, generate, and improve automation scripts for pytest or similar automation frameworks
Run tests at HW-SW integration level (HiL), document and report test results
Document and track issues as appropriate and participate in triaging of issues with different teams to drive towards root cause identification and resolution
Work with integration engineers to design and build test benches to test and high voltage and/or low voltage systems
Help identify gaps in requirements and work with the relevant engineers to update the requirement documents accordingly
Work with functional safety engineers to develop test cases and validation criteria to satisfy Functional Safety requirements as per ISO 26262
Work with the relevant engineers to meet diagnostic coverage & requirements
Troubleshoot Systems/ECUs using lab and measurement equipment including power supplies, oscilloscopes, multimeters as well as tools such as Vector CANoe, CANalyzer, CANape and NI Tools etc.
Participate in the design of a world-class engineering effort to bring electric vehicles to a new level of refinement
Automate various vehicle dynamics and powertrain features based on requirements
Report bugs and analyze logs to troubleshoot issues and participate in bug triage meetings
Minimum Qualification:
Bachelor of Science (Master of Science preferred), in the areas of Mechanical, Electrical, Manufacturing, Automotive, Computer Science, or other related fields
2+ years of full-time testing experience on embedded systems or automotive ECUs
2+ years experience with Python, pytest or similar scripting language(s)
2+ years experience developing Simulink Models using Simulink/Stateflow, developing m-script
2+ years experience with automotive communication protocols such as CAN, LIN, Automotive Ethernet, and related tools to measure and command signals, through scripting or otherwise
2+ years experience with ‘Real Time’ simulation systems and/or FPGA based systems (NI, dSPACE, Vector etc.)
2+ years experience writing test fixtures, setup & teardown modules and development of paramterized testcases, a plus
2+ years experience on Air bag application protocols PSI5, accelerometers, Ride Height sensors etc.
Experienced setting up dSPACE HiL framework and the associated tools/interface methods (e.g., ControlDesk, ConfigurationDesk etc.) a plus
2+ years of experience in ECU functional and Diagnostics testing
Preferred Qualifications:
Practical knowledge of the fundamental concepts of software testing and test processes
Experience working on Embedded Systems framework and the associated tools/interface methods
Hands on experience in using test equipment and validation tools such as Vector CANoe/CANalyzer, (CANape and DiVa is a plus) or similar tools
Hands-on skills to design, build, bring up and debug test benches
Experience automating UDS test cases (DoIP is a plus)
Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
Base Pay Range (Annual)
$154,000—$211,750 USD
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
About the Company

Lucid Motors
Lucid Motors sets out to create a car that elevates the human experience and transcends the perceived limitations of space, performance, and intelligence. A car that is intuitive, liberating, and designed for all the ways people get around. Lucid Motors plans to lead in this new era of mobility by returning to the fundamentals of great design – where every decision we make is in service of the individual. Because when you are no longer bound by convention, you are free to define your own path.
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