State Estimation Engineer (Localization and Mapping)

Remote / Full-Time


  • Derive and implement novel real-time pose estimation algorithms

  • Research, develop and implement algorithms to solve large-scale mapping

  • Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration


  • MS or PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field

  • Intuitive understanding of classical ML, Linear Algebra, Stochastic Processes, Geometric Computer Vision and Optimization (Convex, Nonlinear)

  • Deep experience in one or more areas: Kalman Filter and its variants, MAP, Sequential Monte Carlo (particle filter), Nonlinear Least squares, IRLS or MHT

  • Strong C++ programming and software design skills

  • Familiarity with multiple sensors such as GPS, IMU, camera, and wheel odometry


  • Experience deploying an estimator for say SLAM/VIO in a real application

  • Understanding of numerical stability, sensor modeling and system/noise identification

  • Understanding of theoretical shortcomings in modern algorithms and how to overcome them


  • Competitive Salary

  • Catered lunches

  • Never-Ending Snacks

  • Equity

  • New Gear

  • Health Benefits

  • Flexible Hours

  • Vacation Time

  • 401K

  • Casual Work Attire

  • Fun Events

  • Sick Days

  • Pet Friendly

  • Learning and Development


  • Hackathons

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