TuSimple is dedicated to providing the best solution for autonomous driving. Our mission is to transform the way people see transportation and make it safer, more reliable, and more efficient.

We’re looking for smart and entrepreneurial people to join the world’s leading scientists and researchers team.

Job Description
We are seeking a talented research engineer with experience in machine learning, computer vision and robotics. Join the mapping team to help build high-precision 3D maps for autonomous driving from a variety of sensor data inputs.

The responsibilities of this role are:

  • Design and implement mapping algorithms based on LiDAR, vision and GNSS/IMU data.
  • Research on topics such as: 3D computer vision, point cloud processing, multiple view geometry, and sensor calibration.
  • Implement novel technologies as a part of an agile team.


  • PhD or MS in computer science, machine learning or other related programs, or equivalent practical experience.
  • At least two years of research experience (excluding course project) in lidar point cloud processing or computer vision.
  • At least one year experience with SLAM.
  • Experience in ROS, PCL and OpenCV
  • Proficiency with C++ or Python.
  • Proficiency with Linux

Bonus Points

  • Related experience in autonomous driving
  • Experience in deep learning (MXNet preferred)
  • Strong publication record


  • Work with world class AI engineers

  • Competitive salary and benefits

  • Bonus/options/paid vacations/insurance

  • Daily breakfast, lunch, and dinner

  • Full Kitchen with unlimited snacks and fruits

  • Weekly team happy hour

TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.