In this role, you will:

• Design software architectures that combine both learned and classical methods that are integrated with motion planning
• Create principled algorithmic improvements and machine learning models to improve on-vehicle performance and behaviors 
• Leverage our large-scale data pipelines and machine learning infrastructure to research, prototype, and deploy new solutions to improve driving behavior
• Plan and lead large cross-functional initiatives
• Present work proposals & artifacts to leadership and technical mentoring of team members

Qualifications

• BS, MS, or PhD Computer Science or related field within Robotics; 3+ years of experience
• Experience with training and deploying machine learning models
• Experience with production machine learning pipelines, dataset creation, training frameworks, and metrics pipelines
• Understanding of configuration spaces and real-time motion planning algorithms (A*, RRTs, PRMs, etc.)
• Fluency in C++, Python, PyTorch, TensorFlow

Bonus Qualifications

• Prior experience with successful deployment of products in autonomous robotics and/or a safety critical product industry
• Prior experience with sensor fusion, 3D data representation, motion planning, machine learning pipelines & architectures
• Publications in the fields of machine learning and/or robotics within academia or industry venues