Research Engineer, Plus

• MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience
• Software design and development experience in Python and C++
• Experience in 3D computer vision

Desirable

• We are seeking a Research Engineer to join the Localization & Mapping team at Plus, focusing on the design, development and deployment of software to advance our self-driving technology
• The primary focus of the role is scene reconstruction and auto labeling of the urban driving scenes
• You'll collaborate with a diverse team of researchers and engineers on core topics in computer vision, deep learning and optimization
• You'll design and implement state-of-the-art algorithms in making a scalable auto labeling/mapping process, delivering significant impact to the company and the autonomous driving industry
• Develop 3D visual reconstruction of highway and urban driving scenarios including static scenes and dynamic objects
• Identify unique and high-value driving scenes to maximize data labeling efficiency, class distribution imbalance (long-tail) challenges in autonomous driving
• Develop a distributed and automated pipeline for large scale scene reconstruction and automatic label generation
• Curate high-quality dataset for autonomous driving scenarios and design robust evaluation metrics
• Contribute to state-of-the-art perception/LLM models for perception for automated driving
• Collaborate with engineering teams including perception, prediction, planning and data infrastructure to integrate auto labeling and auto mapping pipeline for broader use