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Designs and deploys C++/Python planning algorithms for ADAS/autonomous vehicles, analyzing fleet and simulation data to improve decision-making in Lucid’s in-house software stack.
Senior Test Engineer designing and owning automated test systems for EV traction inverters, including hardware, software, and high-voltage safety validation in a high-volume manufacturing environment.
Coordinates security operations, access control, and compliance for a luxury EV manufacturer’s manufacturing sites, handling administrative tasks and stakeholder liaison.
Oversee a team of advisors, technicians, and parts staff at a Lucid Motors service center, ensuring repairs are completed efficiently and customers receive top-tier service.
About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning…
Perform pre-delivery inspections, basic repairs, and test drives on Lucid’s electric vehicles before customer delivery, documenting work and learning high/low voltage systems.
Diagnose, maintain, and repair Lucid Motors’ electric vehicles, including high-voltage systems and EV powertrains, while documenting repairs and interacting with customers.
Build and optimize perception algorithms for autonomous driving using camera and LiDAR data, focusing on deep learning models for object detection, tracking, and segmentation.
Leads enterprise HR projects and organizational transformation for Lucid Motors, coordinating cross-functional teams to deliver strategic People & Places initiatives and improve operational efficiency.
Travel to client sites in Houston to diagnose, maintain, and repair Lucid Motors’ electric vehicles, documenting repairs and interacting with customers.
Leads end-to-end delivery of Lucid’s retail and service facilities in the Middle East, coordinating design, contractors, and compliance to open showrooms and service centers on time and to brand standards.
Build and maintain scalable data pipelines and backend services for autonomous vehicle sensor data (camera, LiDAR, telemetry) using Python, AWS, and Kubernetes to support ADAS development.
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