Engineer, State Estimation

Join to apply for the Engineer, State Estimation (Dallas/San Diego/Boston/ DC/ San Fran) role at Shield AI . 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. For more information, visit What you’ll do 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; 2 years with a master’s degree; 1 year with a PhD; or equivalent practical experience. Familiarity with state estimation 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. Compensation & Benefits $120,000 – $250,000 a year. Full‑time regular employee offer package: pay within the listed range plus bonus, benefits, and equity. Temporary employee offer package: pay within the listed range plus temporary benefits (applicable after 60 days of employment). Salary compensation is influenced by a wide array of factors including skill set, level of experience, certifications, and work location. All offers are contingent on a cleared background check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. 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. #J-18808-Ljbffr