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
Required Skills:
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
Preferred Skills:
2-3 years of industry experience in a relevant role
Project experience with Structure from Motion
Experience and/or knowledge with Machine Learning/Deep Learning
Experience and/or knowledge of NERF/Gaussian Splatting
Experience in optimization with ceres
Basic understanding of multi processing/threading
Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH, ICRA, IROS, etc.)
Salary Range:
$120,000 - $200,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
