As a Behavior Planning Engineer on our ADAS Autonomous Driving Team, you will be responsible for managing the software stack and introducing new algorithms for the purpose of improved customer experience. Additionally, you will conduct data analysis to extract critical scenarios from fleet data and simulation data, contributing to the enhancement of our autonomous driving system's decision-making capabilities. Our ideal candidate exhibits a proactive, can-do attitude and approaches their work systematically with vigor, determination, and accuracy. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly, and to strive for perfection within a fast-paced environment. The Role: • Design, prototype, engineer, test, release and launch cutting edge features for ADAS/Autonomous Driving. • Conduct research to come up with state-of-the-art machine learning based planning and prediction solutions and have the drive and expertise to take such solution to production. Qualifications: Must haves: - Proficiency in C++ & Python, with 3+ years of academic/industry experience specifically with relevant libraries used for data analysis and management. - Demonstrated expertise in software design principles, with a focus on creating scalable and efficient data management systems. - Understanding and exposure to non-ML planning methods. - Conduct research to come up with state-of-the-art machine learning based planning and prediction solutions and have the drive and expertise to take such solution to production. Preferable: - 3+ years of academic/industry experience in ML development, with a solid understanding of its applications in large-scale data systems. - Experience with porting trained models to embedded platforms and solid fundamentals in c++. - Background in one of these areas' perception, environment modeling , prediction or planning as part of ADAS/AD software stack or equivalent robotic applications. - Experience Large scale data processing for perception and planning stack in Autonomous Driving or other robotic applications is a plus. - Academic or practical experience in imitation learning, reinforcement learning, simulation etc. Education: • BS or MS/PhD (preferred) in Computer Engineering, Computer Science or Data Science. 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. Base Pay Range (Annual) $158,400-$217,800 USD Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; and a 401(k) retirement plan. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.