XPeng Motors is one of China’s leading smart electric vehicle (“EV”) companies. We design, develop, manufactures and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future. 

We are looking for a computer vision engineer with strong system design skills to join the localization team. In this role you will be developing state of the art computer vision algorithms to enhance the positioning and 6-DOF pose accuracy of the vehicle in challenging environments such as city and deep-urban using visual, inertial and other sensors. The role requires a PhD in Computer Vision, Machine Learning, Robotics, Signal Processing or related field. Experience in SLAM, VIO is an added plus.

You will be working with a team of best in class computer vision and AI systems and software engineers to ensure best localization performance on our autonomous vehicles. Your work will ensure that we deliver most reliable mass market autonomous vehicle solution.

Job Responsibilities:

  • Research and develop algorithms for localization, mapping, state estimation and odometry based on multiple input modalities such as inertial sensors, one or more cameras, GNSS and other sensors.
  • Work closely with camera perception and sensor fusion teams to build 3D perception pipeline.
  • Work closely with software and test team members on development of algorithms on target platforms.

Minimum Skill Requirements:

  • PhD or Masters in robotics, electrical engineering, computer science, or related field
  • Solid foundation in computer vision, 3D geometry, feature tracking and modelling.
  • Proficient in developing algorithms in C++
  • Excellent problem-solving skills

Preferred Skill Requirements:

  • Photogrammetry (Vis. Odometry, 3D Reconstruction, SLAM, Calibration)
  • Probability (Covariance, Maximum Likelihood, Error Propagation)
  • Stochastic Recursive Filters (Kalman Filter, EKF, Particle Filtering)
  • Optimization (Weighted L.S., Linear/Quad. Programming, Gauss-Newton)
  • Hands on experience in integrating multiple sensor inputs.

 

What do we provide:

  • A fun, supportive and engaging environment
  • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
  • Opportunity to work on cutting edge technologies with the top talent in the field
  • Competitive compensation package
  • Snacks, lunches and fun activities

 

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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