Responsibilities:

• Develop and implement algorithms and software for  on-board perception for self-driving trucks
• Work in a cross-functional environment to understand the requirements and performance of other system components such as mapping, localization, prediction, planning, control, simulation and data infrastructure
• Work with the operations team to communicate requirements around data collection, preprocessing, labeling, testing, and analysis 
• Continuously measure and improve the performance metrics of the perception system based on data collected by company and partner fleets

Required Skills:

• Master’s degree or PhD in a related technical field
• 2+ years industry experience in one or more of the followings: deep learning and machine learning for computer vision, geometric computer vision, multiple-view geometry, 3D reconstruction, state estimation, tracking, sensor fusion
• Understanding of principles of operations of sensors such as camera, radar and lidar
• Strong proficiency in C++ and/or Python
• Familiarity with PyTorch or TensorFlow deep learning frameworks
• Strong written and verbal communications
• Self-motivated, comfortable operating without direct supervision

Preferred Skills:

• Understanding of the state-of-the-art in perception for self-driving vehicles
• Experience in developing software for automobile industry
• Examples of your work such as open source projects and/or conference or journal publications
• Experience in deploying software and/or machine learning/deep learning models in production real-time environments