Senior Staff Autonomy Engineer (R2148)

Introduction to Shield AIShield 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.

As a member of the State Estimation team, you will work on some of the most challenging estimation problems to bring Assured – Positioning, Navigation, and Timing (A-PNT) to the world’s best AI Pilot. You will work alongside a team of experienced autonomy and software engineers that enjoy taking on challenging problems and delivering extraordinary results. Your main challenge will be to investigate, simulate, and implement sensors and sensor processing algorithms that help to observe an aircraft’s state (position, velocity, orientation, etc.) in scenarios where global navigation satellite systems (GNSS) is degraded or denied. 

Projects that you might work on (optional):

• Research and implement vision processing algorithms to infer aircraft position from real-time aircraft imagery 
• Implement quick-turn proof of concept prototypes to quantify accuracy and observability improvements to be expected from new sensors and algorithms 
• Analyze simulated and flight test data to characterize algorithm performance and identify failure modes 

Required qualifications:

• Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience. 
• B.S. in Robotics, Computer Science, Engineering or equivalent practical experience 
• Experience with estimation and sensor fusion algorithms 
• C++ experience in a Linux development environment 

Preferred qualifications:

• M.S. / PhD in computer science, engineering or related field 
• Experience with Kalman filters, particle filters, factor graphs, and other estimation methods 
• Image processing experience including visual odometry, visual feature detection + matching, and photometric alignment  
• Strong command of modern C++ 
• Proven experience with modern software engineering best practices in algorithms, data structures, and clean code methodologies 
• CUDA 
• CMake 
• Python 
• Matlab 

#LI-OE1 

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.