Intern - Perception Research Engineer (Mapping)

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
We are seeking a Research Engineer Intern 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 internship is reconstruction, auto labeling and auto mapping of the static 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.

Responsibilities:

• Improve 3D visual reconstruction of urban driving scenes.
• Implement or develop the state-of-the-art algorithms in automatic labeling urban scenes and eventually generate 3D HD maps automatically.
• Develop a distributed pipeline for large scale urban scene reconstruction and HD map generation.
• Experiment with 3D Gaussian Splatting in rendering realistic driving scenes.
• Collaborate with engineering teams including perception and data infrastructure to integrate the auto labeling and auto mapping pipeline.

Required Skills:

• Pursuing 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:

• Project experience with SLAM and/or Structure from Motion.
• Knowledge and/or experience with Machine Learning/Deep Learning.
• Basic understanding of multi processing/threading.
• Experience in optimization with ceres.
• Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH, ICRA, IROS, etc.).

Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan.