Staff Engineer - State Estimation

Staff Engineer – State Estimation

Typically requires 7+ years of related experience with a Bachelor’s degree; or 6 years with a Master’s degree; or 4 years with a PhD; or equivalent work experience.
Strong experience developing and deploying real-time sensor processing algorithms with IMUs, radar, cameras, GPS, and other sensors.
Expertise in state estimation techniques, such as Kalman filters (EKF, UKF), particle filters, and sensor fusion methods.
Proficiency in C++ (C++11 or newer) and experience working in Linux environments.
Strong debugging, optimization, and software development skills for embedded or real-time systems.
Ability to work in cross-functional teams and lead technical efforts for sensor fusion solutions.
Proven ability to deliver high-quality solutions in fast-paced, dynamic environments.

Develop and implement advanced sensor processing algorithms for IMUs, cameras, GPS, radar, and other sensors.
Improve state estimation robustness and accuracy through multi-sensor fusion techniques.
Design and optimize real-time sensor data processing pipelines for deployment in autonomous systems.
Lead integration efforts with software, autonomy, and hardware teams to ensure high-performance state estimation.
Conduct simulation, experimentation, and field testing to validate algorithm performance.
Stay at the forefront of sensor fusion and estimation techniques, applying new advancements to Shield AI’s UAV platforms.
Other duties as assigned.

Experience implementing inertial navigation and visual-inertial odometry algorithms on real-time systems.
Strong understanding of computer vision and its integration with state estimation.
Experience optimizing algorithms for compute-constrained environments.
Familiarity with CUDA, FPGAs, or other hardware acceleration for real-time processing.
Experience with transitioning technology from R&D to production deployment.