This role is located in San Diego, CA.  Relocation assistance is provided.

For immediate consideration please email your resume to: deep_learning_engineer_t8m8ttd72@ivy.greenhouse.io

 

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 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 truck driving platform!

Job Description

Our deep learning team helps autonomous trucks sense and perceive the world. You will play an important role in creating novel algorithms for advanced perception and applying your algorithm on terabytes of data. You will also work closely with other talents in this field in building the next-generation of autonomous sensing algorithms.

Responsibilities:

  • Research and prototype developing using deep learning with a special focus on the perception problems of autonomous driving

Qualifications:

  1. MS/PhD in Computer Science/Electrical Engineering
  2. 3+ years of research or practical experience in applying deep learning on large scale and real world data
  3. Knowledge in deep learning topics including but not limited to detection, segmentation, 3D perception, and spatial-temporal analysis
  4. Strong coding skills in Python or C/C++
  5. Familiar with  at least one of the following deep learning frameworks:  MXNET (preferred), TensorFlow, Pytorch, Caffe.

Preferred:

  1. Track record of publishing in top-tier computer vision or machine learning conferences or/and journals.
  2. Prior academic or industrial experience in autonomous driving.
  3. Knowledge in deep learning topics including but not limited to detection, segmentation, and 3D perception.

Preferred:

  • PhD Computer Science or related field. 
  • Experience in designing and building front-ends for helping monitor experiments, visualize benchmarks etc.
  • Knowledge and experience in neural network computation optimization, such as distributed training, network quantization, and CUDA acceleration.
  • Experience in FPGA/Embedded systems/High performance computing.
  • Prior academic or industrial experience in autonomous driving.

Perks

  • Visa sponsorship is available for this position 
  • Opportunity for professional growth and career advancement 
  • Competitive salary and benefits
  • 30% Bonus.
  • Daily breakfast, lunch, and dinner
  • Shape the landscape of autonomous driving
  • 100% Company paid Medical, Vision, and Dental insurance plan
  • Company 401(K) program
  • Company paid life insurance
  • Company paid education/training. 
  • Company paid gym membership.  

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.

For immediate consideration please email your resume to:  deep_learning_engineer_t8m8ttd72@ivy.greenhouse.io

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