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, DDS or other middleware systems, Adaptive Autosar  Knowledge of any other programming languages (e.g. Matlab / Simulink, Python, C/C++, JavaScript, etc.)  Experience writing MISRA conform automotive code  Experience in working in agile development teams  Experience in component and system integration, testing and verification on system and vehicle level  Knowledge of applicable safety standards and regulations (ASPICE, ISO 26262), industry benchmark and customer requirements  Experience in automotive supplier interaction, specification development, release management, change management 

Educational Requirements

BS minimum in the areas of Computer Science, Electrical Engineering, Automotive Engineering, Mechanical Engineering, Robotics, or other related fields Higher level degrees strongly preferred 15 or more years of software engineering experience ideally in the automotive field, with at least 5 years of team management experience (12 years of sw engineering experience with MS degree, or 8 years of sw engineering experience with PhD degree)   At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.