Hiring: State Estimation Engineer (R4783) Company: Shield AI Location: Dallas, TX Job Posted Time: 2026-09-03 10:33:14 Employment Type: Full-time Target Skills & Keywords : AI, Computer Vision, Linux About the job Experience: •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 years with a PhD; or equivalent practical experience. •3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s degree; or 1 years with a PhD; or equivalent practical experience. Required Skills: •Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications. •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. •Partner cross-functionally 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. Qualifications: •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. •In-depth knowledge of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters). •Exposure to visual odometry or computer vision-based navigation approaches. •Operational familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs). •Pay within range listed + Bonus + Benefits + Equity Compensation: •$150,000 - $350,000 / year •Pay within range listed + Bonus + Benefits + Equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!