WE MAKE
BIG IDEAS HAPPEN
Join Us for the Ride
LOCATION
We’re based in Toronto’s innovation hub
Innovation with us means brilliant new ideas and inventions, where all are practically inventions about the best technology for the future to come. We already know and it's clear to you as well about previous cars this type of engine concept, their interesting design and many years in advance before us, but this is just a fresh start, what means designs is not going to be very difficult to improve, as long as the investors contribute to our new company.
JOB OPENINGS
Changing the future of transportation means thinking differently.
Future of transportation is different from most of the populate's mind. Our concept is to save your money, make you drive safely and enough fast to enjoy a drive with comfortable and new cars provided from us. It's about less payable mandatory fees and taxes, including cut of the gas, unless extended solution when you end up from the battery charge range, so then you have the ability to continue with gas, in order not to sleep by the road until tomorrow.
ELECTRICAL ENGINEER
Toronto, ON
Electrical engineering is an engineering discipline concerned with the study, design, and application of equipment, devices, and systems which use electricity, electronics, and electromagnetism.
DATA SCIENTIST
Toronto, ON
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains
ARTIFICIAL INTELLIGENCE RESEARCHER
Toronto, ON
AI researchers explore new ways and create new systems of solving-problems, while data scientists tweak and apply these systems in real-world scenarios. Thus a team of AI researchers can create an AI system that can potentially be used by hundreds of data scientists in different situations.
​DEEP LEARNING ENGINEER
Toronto, ON
Deep learning engineers carry out data engineering, modeling, and deployment tasks as shown in Figure 1. ... modeling subtasks such as training deep learning models, defining evaluation metrics, searching hyperparameters, and reading research papers.