Staff Perception Software Engineer - Sensor Fusion

Staff Perception Software Engineer – Sensor Fusion

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 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with 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

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

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
Experience with UCI and OMS Standards