Director, ADAS Software Engineering and Machine Learning

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.

The ADAS team is currently seeking a Director to be responsible for the ADAS Software Engineering and Machine Learning group. This position requires an experienced professional with a track record of successfully bringing new automotive ADAS and AD features into production. 


You Will:

• Manage and lead the ADAS/AD Data Engineering, Perception & Machine Learning and Motion Planning & Control software engineering teams
• Work with other leaders within and outside of the ADAS department to establish strategic plans and objectives regarding ADAS software
• Contribute to the ADAS/AD software development roadmap for safety, driving, parking and viewing features, strategic planning and production rollout planning and present the roadmap to executive leadership
• Define the strategy for sensor data collected from fleet and/or customer vehicles, as well as automated pipelines for data ingest and processing, manual and automated annotation with quality control, and AI model training
• Set the direction for ADAS/AD software development technology roadmaps, including development of BEV Transformer and End-to-End AI models
• Lead the development of ADAS/AD perception software modules including camera, LiDAR, radar and ultrasonic sensor fusion, localization, mapping and environment modeling; as well as the software architecture for SAE level 2 ADAS and level 3/4 autonomous driving applications 
• Lead and set direction for motion planning and control software modules for ADAS and autonomous driving, including behavior planning and prediction, trajectory planning, optimization-based planning and motion control
• Lead the design, prototyping, engineering, validation, and launch of cutting-edge software stacks for ADAS/AD
• Be responsible for ADAS/AD application software production releases
• Establish and manage strategic external partnerships to augment and complement our in-house capabilities
• Work with ADAS Feature Owners and other stakeholders to establish feature roadmap plans to take ADAS/AD to the next level and provide a best-in-class premium experience
• Lead performance validation and evaluation of ADAS sw releases
• Work closely with external suppliers and internal teams to implement innovative solutions
• Contribute to the timely delivery of fully validated, high-quality customer features
• Work closely with other teams to ensure good communication to achieve a seamless and robust vehicle implementation

You Bring:

• Proven track record of bringing automotive ADAS customer features and/or machine learning algorithm into production
• In-depth experience in optimization, sensor fusion, probabilistic filters (e.g. particle and/or Kalman filter), sensor processing, computer vision, point cloud processing, sensor registration, sensor calibration, machine learning, deep learning
• Knowledge in programming in C/C++, testing complex perception systems 
• Experience with automotive supplier interaction, specification development, project/release management, change management
• Capability and creativity to successfully complete projects with unconventional ideas in highly constrained, innovative startup environments
• Excellent communication skills (verbal and written)

Great to Have:

• Knowledge of database systems, big data concepts and cluster computing frameworks (e.g. Spark, Hadoop, or other tools)
• Previous experience with big data applications or back-end software development
• Expertise in classical and modern control design and implementation, familiarity with different approaches such as LQR, MPC, Adaptive, Robust and PID controllers, etc.
• Proven past experiences in complete production cycle of ADAS/AD lateral and longitudinal controllers: model-based design, tuning, SIL/HIL testing and vehicle deployment
• Knowledge of ROS,