Engineer, State Estimation

Founded in 2015, Shield AI is a venture‑backed deep‑tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V‑BAT and X‑BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia‑Pacific, Shield AI’s technology actively supports operations worldwide. As a State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real‑time sensor processing pipelines, integrate multi‑sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability. Your work will support the transition of cutting‑edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission‑critical applications. Job Description Develop and implement real‑time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS‑denied or degraded environments. Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks. Design sensor processing pipelines focused on accuracy, robustness, and system‑level fault tolerance. Collaborate with autonomy, software, and hardware teams to ensure end‑to‑end integration of navigation and PNT systems. Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real‑world conditions. Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions. Required qualifications Typically requires a minimum of 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 year with a PhD; or equivalent practical experience. Familiarity with algorithms. Proficient in C++11 or newer in real‑time environments. Comfortable working in Linux, with experience using standard command‑line tools and scripting. Strong written and verbal communication skills with a collaborative mindset. Demonstrated success working in fast‑paced development cycles and delivering high‑quality results. Preferred qualifications Experience developing and deploying real‑time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors. Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters). Experience implementing inertial navigation algorithms in degraded or GPS‑denied conditions. Exposure to visual odometry or computer‑vision‑based navigation approaches. Experience optimizing code for performance on compute‑constrained platforms. Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs). Experience transitioning navigation solutions from research into production environments. $120,000 - $250,000 a year Referrals increase your chances of interviewing at Shield AI by 2x Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Software Development 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr