Company Overview
Come join a higher calling and find a deeper purpose!
As a multi-national Artificial Intelligence Technology Company, we are at the epicenter of the Autonomous Vehicle Universe. Our breakthroughs are leading the industry in autonomous trucking.
While inventing the framework of Autonomous Driving, our current fleet of autonomous trucks are helping communities receive much-needed supplies and medical equipment around the clock. Our people are some of the most talented engineers and contributors who are leaving behind a historic legacy.
TuSimple was founded in 2015 with the goal of bringing the top minds in the world together to achieve the dream of a driverless truck solution. With a foundation in computer vision, algorithms, mapping, and Artificial Intelligence, TuSimple is working to create the first global commercially viable Autonomous Freight Network.
Opportunity Overview:
Artificial intelligence enabled automation is one of the biggest opportunities of our generation. Here at TuSimple, it is more than just an opportunity, it is our mission. Led by a group of elite researchers and engineers, we are working tirelessly to bring safe and reliable autonomous trucking to reality. This transformative endeavor can reduce energy consumptions in the trucking industry, make goods and services more affordable and efficient, and eventually, profoundly improve the quality of life of everyone, including you and I.
As a Full Stack Engineering Intern at TuSimple, you will work on both the back-end infrastructure and front-end Web UIs of various projects, from our offboard infrastructure services to the onboard system, to bring automation and visualization to the company. Your work will greatly improve the efficiency of the research of our algorithm scientists, and expedite the development of engineering infrastructure projects.
Example projects we are working on include:
- Building pipeline scheduling and execution platform, as well as the corresponding frontend to manage and interact with the platform, to do analysis of our simulations and datasets;
- Developing on-premises cluster projects as well as utilizing public cloud computing infrastructure services;
- Building front-end Web Interface for engineers and testops to control and monitor the onboard system, that visualize in real time, the perceived surroundings and decided routes of our autonomous driving system;
- Building web-based tools to optimize the labelling of our datasets to greatly increase the efficiency and correctness;
Role Responsibilities
- Discover and optimize performance bottlenecks in existing backend systems, such as database queries, storage solutions, to increase the responsiveness of user queries;
- Architect, implement and maintain performant and scalable data processing backend systems that can handle tremendous amount of data generated daily;
- Work with various teams globally, such as prediction, simulation and onboard runtime, to build web-based tools to facilitate their development lifecycle;
- Work with SRE team to identify issues to increase the stability and performance of our private computing service