Xsense.ai develops full stack solutions for autonomous driving for consumer electric cars (EV). We are looking for engineers who are passionate about autonomous vehicles to join in and help us build best in class autonomous driving solutions.

We are looking for a machine learning engineer with strong system design skills. In this role, you will be researching and developing state of the art computer vision and machine learning technologies that provide smooth millimeter/milliradian-grade localization of the car in its environment 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, 3D reconstruction, surface modeling or maps will be an added plus. 

You will work with cross functional research and development teams in a rapidly paced environment. Your work will ensure that we deliver the most reliable mass market autonomous driving solution.

 

Job Responsibilities:

  • Research and develop algorithms for ego pose tracking using semantic features from camera perception, inertial and other
  • Work closely with perception and planning to build 3D perception pipeline.
  • Work closely with cross functional team for rapid execution on target platforms.

 

Minimum Skill Requirements:

  • PhD in Machine Learning, Computer Vision, Robotics, Signal Processing or related field
  • Solid foundation in probability, estimation, and optimization.
  • Proficient in developing in C++

 

Preferred Skills:

  • 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)
  • Geodesics (Maps, Distortion, Coordinate Transforms, Frenet)
  • Linear Algebra (SVD, EVD, Cholesky, Numerical Considerations)
  • Software Profiling and Run-Time Optimization
  • Familiarity with Agile workflow

 

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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