Senior Behavior Planning Software Engineer - ADAS

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 vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. Our teams come from industries around the world, united by a shared commitment to excellence.

About the role

As a Behavior Planning Engineer on our ADAS Autonomous Driving Team, you will manage the software stack and introduce new algorithms to improve customer experience. You will conduct data analysis to extract critical scenarios from fleet and simulation data, enhancing our autonomous driving system's decision-making capabilities. Our ideal candidate exhibits a proactive, can-do attitude, approaches work systematically, and thrives in a fast-paced environment.

Responsibilities

• Design, prototype, engineer, test, release, and launch cutting-edge features for ADAS/Autonomous Driving.
• Conduct research to develop state-of-the-art machine learning-based planning and prediction solutions and drive them to production.
• Analyze large-scale data from fleet and simulation to extract critical scenarios for system improvement.

Requirements

• Proficiency in C++ & Python, with 3+ years of academic/industry experience using relevant libraries for data analysis and management.
• Demonstrated expertise in software design principles, focusing on scalable and efficient data management systems.
• Understanding and exposure to non-ML planning methods.
• Experience conducting research and implementing machine learning-based planning and prediction solutions in production.

Qualifications

• BS or MS/PhD (preferred) in Computer Engineering, Computer Science, or Data Science.
• 3+ years of academic/industry experience in ML development, with a solid understanding of its applications in large-scale data systems.
• Experience porting trained models to embedded platforms.
• Background in perception, environment modeling, prediction, or planning as part of an ADAS/AD software stack or equivalent robotic applications.
• Experience with large-scale data processing for perception and planning stacks in Autonomous Driving or robotic applications is a plus.
• Academic or practical experience in imitation learning, reinforcement learning, or simulation.

Pay

Base pay range (annual): $158,400 – $217,800 USD.

Benefits

• Comprehensive medical, dental, and vision insurance.
• Life and disability coverage.
• Paid time off and holidays.
• 401(k) retirement plan.
• Eligibility to participate in Lucid’s equity program and discretionary annual cash incentive program.