Sr. Software Validation Engineer, Charging Systems

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.

• Involved in the testing of Charging Software in the automotive domain.
• Design, develop and build vehicle validation test cases.
• Perform analysis and record and track software bugs to closure.
• Work cross functionally to identify risks and opportunities for product integrity and user experience.
• Plan and execute system-level test cases related to Charging domain
• Perform and collaborate tests on vehicles across all the models and markets.
• Analyze test data to verify system behavior troubleshooting issues and raising bug tickets.
• Clearly communicate test results, collaborate with stakeholders globally to discuss issues detected, and work on next action plan.
• Traveling for testing purposes to support end-to-end Charging Validation
• Triaging bugs and serving as primary interface to issues encountered in field

You Bring:

• 5+ years of automotive embedded testing experience.
• Good knowledge on EV Charging architecture, On-Board charger, Off-Board charger.
• Hands on Experience in UDS, CAN and Ethernet protocols.
• Hands-on experience in Automotive testing tools like CANoe, CANalyzer, CANstress, WireShark.

Advantageous:

• Knowledge in Python and/or any scripting language.

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