Sr. State Estimation Engineer

M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science or a related field; Minimum 2+ years of related professional work experience if you have an M.S degree or 0 years if you have a new Ph.D graduate.
Proficiency in modern C++ and object-oriented design patterns
Experience deploying low latency applications to embedded Linux environments
Experience designing state estimation algorithms (KF, EKF, UKF)
Familiarity with continuous integration (CI) pipelines and automated testing frameworks in C++
Extensive experience and confidence in deploying production-level code exclusively in C++.

Research and develop world-class state estimation algorithms to advance the state of the art in assured position, navigation, and timing (A-PNT)
Write production-quality software in C++ that will be deployed on military platforms, ensuring robustness, efficiency, and scalability.
Develop and maintain comprehensive unit, integration, and system tests to validate your software
Enhance sensor models within a state-of-the-art simulation environment
Collaborate with other team members on product roadmap development, feature decomposition, and capacity planning within an agile development framework
Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and performance benchmarking capabilities.

Deep understanding of state estimation theory and factor graph implementations (e.g., gtsam, ceres)
Experience developing and deploying inertial- and aided-navigation software to production
Experience calibrating, characterizing, modeling, and integrating navigational aiding sensor technologies (e.g., IMU, GPS, Barometers, Magnetometers, Laser Altimeters)
Experience developing vision-based navigation (VBN) and visual inertial odometry (VIO) algorithms.