PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. 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.
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
Your opportunities joining PlusAI
Work, 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.
- Build and validate a closed-loop "long-tail data engine" that improves generic-object detection on a curated long-tail benchmark. The project will first establish a measurable long-tail evaluation benchmark from existing logs. Then a prototype of the data engine will be built using a combination of simulation tools, automated data mining, and foundation models.
- 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.
- Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH, ICRA, IROS, etc.)