Join TuSimple and help change the way the world moves.  Together we're making freight transportation safer, more efficient, and more environmentally friendly.

Join TuSimple and help change the way the world moves. Together we're making freight transportation safer, more efficient, and more environmentally friendly. 

We’re building the world’s most advanced self-driving truck system to address the truck fright industry’s most pressing challenges. We believe self-driving trucks will deliver reliable, low-cost capacity while setting a new standard for safety, fuel efficiency, and emission. 

At the epicenter of the Autonomous Vehicle Universe, TuSimple is leading the industry in autonomous trucking with breakthroughs in Artificial Intelligence and the development of the first commercially viable Autonomous Freight Network. 

Opportunity Overview 

The team develops cutting-edge sensor fusion technologies to help our truck perceive the world. You will play an important role in creating novel algorithms to solve the most challenging perception problems and apply your solution to the fleet of trucks at scale. You will also work closely with other talents in this field in building the next generation of autonomous sensing algorithms. 

Example projects that we are working on include: 

  • Camera-based depth estimation and 3D detection in challenging real-world scenarios
  • Multi-sensor fusion and association including camera, LiDAR, RADAR, etc
  • 3D scene understanding to help our truck perceive the world better 

Role Responsibilities 

  • Research and prototype development using deep learning and machine learning algorithms for the most challenging problems in multi-sensor perception and fusion, including camera, LiDAR, RADAR, etc. 
  • Deliver high-quality, robust, and reliable codes for the perception system on the L4 autonomous driving trucks. 
  • Collaborate with other engineers on cross-functional efforts. 

Experience and Skills Required 

  • Master’s Degree in Computer Science, Electrical Engineering, or related field.
  • 3+ years of professional experience in applying deep learning, machine learning, or computer vision algorithms on a large scale and real-world data. 
  • Extensive experience and strong knowledge in one of the following fields: camera-based 3D detection/depth estimation, multi-sensor multi-modal association/fusion, RADAR perception, occupancy grid, scene understanding, or a similar field. 
  • Production-quality coding skills in Python and/or C++. 

Preferred Skills and Experience 

  • Ph.D. in Computer Science, Electrical Engineering, or related field. 
  • Prior academic or industrial experience in working with autonomous vehicles or perception systems. 
  • Track record of publishing in top-tier computer vision or machine learning conferences and/or journals. 
  • Experience in designing and deploying algorithms for real-world safety-critical systems. 

TuSimple Benefits 

  • 100% employer-paid healthcare premiums for you and your family ● Work visa sponsorship available
  • Relocation assistance available
  • Breakfast, lunch, and dinner served every day
  • Full kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and more
  • Stock options / equity
  • Gym membership reimbursement
  • Monthly team building budget
  • Learning/education budget
  • Employer-paid life insurance
  • Employer-paid long and short disability

 

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