Onboard Algorithm- Research Engineer/Research Scientist, Multi-Sensor Perception

San Diego, CA

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TuSimple

At TuSimple we are using autonomous trucks to pave a better path forward by solving the trucking industry’s most pressing challenges by enabling reliable, low-cost freight capacity as a service while setting a new standard for safety and fuel...

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

This position will require relocation to San Diego, CA. Relocation assistance will be provided. 

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 perception (including monocular, stereo, and multi-camera 3D detection), Multi-view geometry, BEV perception, 3D scene understanding, multi-sensor multi-modal association/fusion, or a similar field.
  • Production-quality coding skills in Python and/or C++.
  • Familiar with Linux and deep learning frameworks such as PyTorch/Mxnet/TensorFlow.

 

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 are 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

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. Origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.

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Tags: Autonomous Driving Computer Science Computer Vision Deep Learning Engineering Industrial Lidar Linux Machine Learning MXNet Python PyTorch Radar Research TensorFlow

Perks/benefits: Career development Conferences Equity Fitness / gym Insurance Relocation support Snacks / Drinks

Region: North America
Country: United States
Job stats:  9  0  0

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