Staff Engineer - State Estimation and Mapping

Introduction to Shield AI
Shield AI’s mission is to protect service members and civilians with intelligent systems. Shield AI is a fast growing, venture-backed defense-technology company built around a team of proven executives, distinguished warfighters, and world-class AI engineers. Since 2018, Shield AI’s products and people have supported operations around the world with the US Department of Defense and our allies.


Job description
Are you a passionate and innovative autonomy engineer looking to help develop state of the art robots and AI products? Are you eager to make a positive difference in the world? Shield AI is the place for you!

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 develop 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.
What you'll do:
  • Research and develop world-class state estimation, mapping, and artificial intelligence algorithms
  • Enhance sensor models within a state-of-the-art simulation environment
  • Work in a fast-paced, collaborative, continuous development environment, enhancing analysis, and benchmarking capabilities
  • Who we're looking for:
  • You have an M.S. in Computer Science or related quantitative science, or a B.S. in Computer Science with 4+ years of professional experience in the fields of state estimation, simultaneous localization and mapping (SLAM), or robotics
  • You have direct experience with the latest algorithms in one of these areas or a related area: Kalman filtering, visual-inertial navigation, SLAM, graph-based algorithms, 3D mapping
  • You are highly proficient in C++
  • You have a demonstrated passion for solving complex problems in robotics with little supervision
  • You're a team player with strong communication skills and a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
  • Preferably, you'll also have experience in one or more of these areas:
  • M.S. in Computer Science or related quantitative science with 4+ years of professional experience in state estimation, SLAM or robotics
  • Experience working in a collaborative development environment including continuous integration and delivery
  • Matlab or Python
  • Distributed estimation algorithms
  • Embedded or GPGPU systems
  • Depth cameras (e.g., Intel RealSense)
  • Computer vision
  • Sensor modeling and simulation
  • Probability and stochastics
  • Signal processing

  • #LI-TJ1

    Total compensation: Salary within range listed above + Bonus + Benefits + Equity (if applicable)
    Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on the benefits offered is here. All offers are contingent on a cleared background check.

    Location guidelines-
    Onsite = 5 days/week
    Hybrid = Several days in the office
    Remote = Remote but able to come to the office as requested for business needs

    If you're interested in being part of our team, apply now! 

    Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
     
    To conform to U.S. Government regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 
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