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.
\n Develop 3D visual reconstruction of highway and urban driving scenarios including static scenes and dynamic objectsIdentify unique and high-value driving scenes to maximize data labeling efficiency, class distribution imbalance (long-tail) challenges in autonomous drivingDevelop a distributed and automated pipeline for large scale scene reconstruction and automatic label generationCurate high-quality dataset for autonomous driving scenarios and design robust evaluation metricsContribute to state-of-the-art perception/LLM models for perception for automated drivingCollaborate with engineering teams including perception, prediction, planning and data infrastructure to integrate auto labeling and auto mapping pipeline for broader use Required Skills:MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experienceSoftware design and development experience in Python and C++Experience in 3D computer vision Preferred Skills:2-3 years of industry experience in a relevant roleProject experience with Structure from MotionExperience and/or knowledge with Machine Learning/Deep LearningExperience and/or knowledge of NERF/Gaussian SplattingExperience in optimization with ceres Basic understanding of multi processing/threadingPublication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH, ICRA, IROS, etc.) Salary Range: $120,000 - $200,000 a year
\nOur compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.