For immediate consideration please email your resume to: algo__prediction__a0f4c1792us@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 driver-less 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!

Job Description:

TuSimple is the self-driving technology company with a mission to bring automation to the trucking industry. Prediction plays a critical role in the mission. At TuSimple, the prediction team is responsible for developing the cutting edge machine learning algorithms to predict the future trajectories of the vehicles and pedestrians on the roads. The prediction results are critical input of the downstream planning module to make correct driving decisions. 

Example projects we are working on include:

  • Trajectory prediction using CNN models in environments that are hard to describe numerically
  • Modeling the interaction between the road agents and predicting for the negotiation outcome
  • Encoding the prediction uncertainty and collaborate with planning to make stochastically optimized decision    

What You'll Do:

  • Deliver high-quality and reliable code for deep learning prediction modules on autonomous driving trucks
  • Build and maintain efficient pipelines and reliable benchmarks for improving deep learning model performance
  • Collaborate with other engineers to conduct system integration and tests.

What You'll Bring:

  • Masters in Computer Science, Math/statistics or other related field.
  • Product-quality code in C++ and/or Python.
  • Experience in designing and building machine learning/deep learning data pipelines.
  • Knowledge in deep learning topics including but not limited to CNN, RNN, Encoder-Decoder, GraphNN

Preferred:

  • 1-5+ years of professional experience working with autonomous vehicles.
  • PhD in Computer Science, Math/statistics or related field. 
  • Knowledge and experience in neural network computation optimization, such as distributed training, network quantization, and CUDA acceleration.

Perks:

  • Visa sponsorship is available for this position 
  • Opportunity for professional growth and career advancement 
  • Competitive salary and benefits
  • Up to a 30% discretionary 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:  algo__prediction__a0f4c1792us@ivy.greenhouse.io 


 

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