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 General SDE Intern at TuSimple, you will have the opportunity to work on various backend projects. You will be developing and maintaining modules such as vehicle systems, embedded systems, simulation systems, and map. Your work ensures our algorithm scientists’ research can be successfully transformed into virtual driver software, and then easily deployed on the truck. You will also collaborate with engineers from different teams to optimize the backend systems to make sure they are efficient, robust and scalable.
What You'll Do:
Design, develop, test, debug, and deploy software modules in autonomous driving systems, and/or in related platform and tools software.
Responsible for integrating multiple modules and systems into one platform
Developing and maintaining key integrating tools and monitoring performance
What You'll Bring:
Strong background in developing production-quality software in C/C++ in Autonomous Driving, Robotics, Internet, Telecommunication, and other technology industries.
Proficiency in writing modern C++ (11 or above)
Solid knowledge of operating system, distributed system, and networking
MS//PhD degree in Computer Science or related fields
Have experiences/courses in Autonomous Driving and/or Robotics
Familiar with Linux environment and multi-threaded/multi-process programming
Attended programming contests such as OI and ACM
Development experiences in robotics middleware such as ROS
Hands-on experiences in performance profiling, analysis, and optimization
Knowledge of computer vision and/or machine learning