Staff Software Engineer, ADAS/ AD Platform Software

Staff Software Engineer, ADAS/ AD Platform Software Newark, CA 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. Drive the concept design, prototyping, engineering, testing, release and enhancements of a cutting edge compute platform for Autonomous Driving Work closely with other teams to ensure a seamless and robust implementation Employ and develop world class tools. Invent and create new technologies and solutions Demonstrate effective communication skills Qualifications: 6+ years of demonstrated experience of shipping software products Knowledge and experience on ADAS and/or Autonomous Driving systems is preferred Programming on GPUs with CUDA and/or OpenCL is preferred C++ programming experience Experience in creating robust and efficient system architectures and complex hardware-software systems Experience developing middleware platform solutions Experience in component and system integration, testing and verification on system and vehicle level Experience developing in Linux/QNX or similar operating systems Preferred Qualifications: Experience with Nvidia SOC Education: Bachelors Degree in the areas of Computer Engineering, Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering or other related fields.  Advanced degree preferred.