Salary Range: 114240 to 171360 (Currency: USD) (Pay period: per-year-salary)

What You’ll Do:

• Write production quality software in C++ 
• Produce an Assured Position, Navigation, and Timing (A-PNT) system to enable reliable autonomy in GNSS-degraded or denied environments 
• Extend and specialize Shield AI’s state-of-the-art state estimation framework for new sensors, platforms, and missions 
• Write test code to validate your software with simulated and real-world data 
• Collaborate with hardware and test teams to validate algorithms/code on aerial platforms 
• Write analyzers to ingest data and produce statistics to validate code quality 
• Enhance sensor models within a high-fidelity simulation environment 
• Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and benchmarking capabilities 

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience 
• Ability to develop, benchmark, debug, and deploy software-based algorithms 
• Demonstrated problem solving skills by applying a scientific approach 
• Typically requires a minimum of 2 years of related experience with a Bachelor’s degree; or a Master’s degree; or a PhD; or equivalent work experience
• Demonstrated experience integrating and working with sensor payloads in the DoD space
• Proficient with sensor fusion for noisy high-bandwidth exteroceptive sensors on compute-constrained systems
• A solid foundation in theory related to state estimation, object detection,  data association, probabilistic robotics, and signal processing.
• Experience working projects with 10+ contributors 
• Offers Fast, efficient, effective problem solving approaches 
• Exceptional collaborator and communicator 
• Comfortability within Unix environments 
• Hard-working, trustworthy teammate 
• Exhibits holding themselves and others to high standards 
• Being kind to others 
• Ability to obtain a SECRET clearance 

Preferred Qualifications:

• MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience 
• Understanding of robotics technologies related to autonomous behavior development e.g. task allocation or planning. 
• Understanding/Experience with unmanned system technologies and accompanying algorithms (specifically air domain) 
• Familiarity with high-fidelity simulation and sensor modeling
• Working knowledge of Kalman Filter, Factor Graphs and other modern estimator fundamentals.
• Strong working knowledge of Computer Vision with hands-on experience with OpenCV or similar CV libraries.
• Experience developing sensor effects (control) algorithms.
• Hands-on experience developing or implementing state of the art object detection/recognition pipelines.
• Active SECRET clearance