INACTIVE
Internship
Phd Research Intern
Autonomous Vehicles, Summer 2024
Posted on 1/8/2024
GPU-based accelerated computing solutions
AI & Machine Learning
Toronto, ON, Canada
Required Skills
Python
Communications
Tensorflow
CUDA
Pytorch
Requirements
- Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field
- Relevant research experience in the field of vehicle / robot autonomy
- Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles
- A track record of research excellence with work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects
- Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus
- Knowledge of common machine learning frameworks such as PyTorch and Tensorflow
- Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team
Responsibilities
- Designing and implementing cutting-edge techniques in the field of vehicle autonomy
- Publishing original research
- Collaborating with other research team members, internal product teams, and external researchers
- Transferring technology developed to relevant product groups
NVIDIA is a leading provider of data processing for artificial intelligence, known for pioneering the GPU in 1999, which revolutionized computer graphics and accelerated computing. The company offers data-center-scale solutions that are reshaping various industries and driving the development of the metaverse, utilizing cutting-edge GPU technology.
Company Stage
Grant
Total Funding
$4.2B
Headquarters
Santa Clara, California
Founded
1993
Growth & Insights
Headcount
6 month growth
↑ 6%1 year growth
↑ 15%2 year growth
↑ 18%INACTIVE