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 half a decade ago 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.
We are looking for a Sensor Calibration Intern to help calibrate, configure and troubleshoot systems on autonomous trucks. You will work with software, sensor, engineering and operation teams, to help with the rapid growth of our fleet.
Develop, test, improve and maintain calibration software and processes.
Identify, escalate, and resolve issues with calibration processes and tools.
Ensure all sensors and systems are properly calibrated before release to testing teams.
Create, maintain, and improve technical documentation for calibration including release notes and technician work instructions.
Own the bring up process for new and retrofitted trucks before release to testing teams.
Current student or recent grad in a degreed Computer Engineering, Computer Science, Robotics, Industrial, Mechanical, Automotive, Electrical or a related field program
Basic programming skills for purposes of automated testing and data processing, i.e. scripting, Python, C/C++, knowledge of APIs.
Experience with sensor or system calibration
Experience in autonomous industry.
This position is designated as a safety-sensitive position.
Must be able to walk 75’ and climb a 10’ ladder
Must be able to bend, kneel, twist, squat, stand and climb as required to secure load.
Ability to lift, carry, move, push, and/or pull up to 50 pounds.
Requires standing, stretching, walking, stooping, pushing and/or pulling in an outdoor environment.
Requires use of safety equipment that may include non-slip shoes, gloves, and other protective garments and equipment.
Brown University, California Institute of Technology, Carnegie Mellon University, Columbia University, Cornell University, Dartmouth College, Duke University, Georgia Institute of Technology, Harvard University, Harvey Mudd College, Massachusetts Institute of Technology, North Carolina State University, Northwestern University, Princeton University, Purdue University, Rice University, Rose - Hulman Institute of Technology, Stanford University, Tufts University, University of California — Berkeley, University of California — Los Angeles, University of Illinois--Urbana-Champaign, University of Maryland--College Park, University of Massachusetts--Amherst, University of Michigan--Ann Arbor, University of Notre Dame, University of Pennsylvania, University of Southern California, University of Texas Austin, University of Washington, University of Wisconsin--Madison, Williams College, Worcester Polytechnic Institute (WPI), Yale University, MIT, CMU, Waymo, Uber, Facebook, Uber, Amazon, Cruise, Tesla, Argo AI, Baidu, DIDI, Zoox, Nutonomy, Nuro, Aptiv, Pony.Ai, Kodiak, Toyota, Nissan, GM, Ford, VW, Autonomous Car, Autonomous Driving, Robotics, Artificial Intelligence, Machine Learning, Deep learning, Perception, Prediction, Planning, Control