Autonomy Engineer - State Estimation and Mapping

San Francisco, CA, United States Posted 10 days ago
Main Location
San Diego, CA, United States
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As a member of the State Estimation and Mapping team you will conduct research at the intersection of artificial intelligence, machine learning and machine perception. You will be responsible for developing cutting edge tech that provides robust, accurate estimates of vehicle pose and surroundings at all times in virtually any environment. Your core challenge will be creating self improving systems that fuse state-of-the-art sensors and algorithms to keep our robots self aware with minimal computational requirements; a fundamental enabler of Shield AI's mission to use mobile robotics and distributable artificial intelligence to save lives.

What you'll do:

- Researching and developing world class state estimation, mapping and artificial intelligence algorithms

- Working in a fast-paced, collaborative continuous development environment, enhancing analysis, testing and benchmarking capabilities

- Enhancing sensor and vehicle dynamics models within a state-of-the-art simulation environment

People we're looking for:
  • M.S. in Computer Science or related quantitative science or 2 years professional experience in the fields of state estimation, simultaneous localization and mapping or robotics
  • A demonstrated passion for solving complex problems in robotics with little supervision in a fast-moving team
  • A team player with strong communication skills and the ability to lead and inspire others
  • Direct experience with state-of-the-art algorithms in one or more of the following or related areas: Kalman filtering, visual-inertial navigation, simultaneous localization and mapping, graph-based algorithms, 3D mapping
  • High proficiency in C++
Other preferred experience:
  • Experience in a collaborative development environment including continuous integration and delivery
  • Experience programming in Matlab, Python or Julia
  • Experience with distributed estimation algorithms
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