Director, ADAS Software Engineering and Machine Learning

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)