Model Based Design Test Engineer - Controls Verification

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: Model Based Design Test Engineer - Controls Verification

Job Summary:

We are seeking a highly motivated and detail-oriented Test Engineer to join our team focused on Software-In-Loop (SIL) testing for Thermal Management Systems or Vehicle Powertrain Control Modules. The ideal candidate will have a strong background in embedded systems testing, automotive control systems, and simulation environments.

Key Responsibilities:

· Design, develop, and execute SIL test cases for thermal or powertrain control software.

· Work closely with software developers and system engineers to understand functional requirements and translate them into test scenarios.

· Develop and maintain test automation scripts and test benches using tools like MATLAB/Simulink, dSPACE, ETAS, Synopsys Silver or equivalent.

· Analyze test results, identify root causes of failures, and document issues clearly.

· Collaborate with cross-functional teams to ensure test coverage and quality standards.

· Support continuous integration and regression testing pipelines.

· Participate in model-in-the-loop (MIL) and hardware-in-the-loop (HIL) testing when required.

Required Qualifications:

· Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, or related field.

· 3+ years of experience in SIL testing or embedded software verification in the automotive domain.

· Strong understanding of vehicle thermal systems or powertrain control strategies.

· Hands-on experience with MATLAB/Simulink, dSPACE, Synopsys Silver, or similar simulation tools.

· Experience in Integrating System Plant Model with Application Software for closed loop simulation testing.

· Experience using Lauterbach Trace 32 debugger, TASKING, GCC Compiler

· Familiarity with CAN, Ethernet, LIN, UDS protocols and automotive diagnostics.

· Proficient in scripting languages such as Python, CAPL, or Shell.

· Excellent problem-solving and communication skills.

Preferred Qualifications:

· Experience with AUTOSAR architecture and ISO 26262 safety standards.

· Knowledge of continuous integration tools like Jenkins, GitLab CI/CD.

· Exposure to vehicle calibration tools (INCA, CANape).

· Experience with model-based development and control algorithm testing.

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)

$128,800—$177,100 USD

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