State Estimation Engineer (R4783) at Shield AI

Department: V-BAT Division

Compensation

$150,000 – $350,000/yr

Setup: On-site
Location: Dallas, Texas
Type: Full-time, Other
Level: mid
Posted: Nov 4, 2025

Description

Shield AI is hiring a State Estimation Engineer to develop, optimize, and deploy real-time sensor fusion and navigation algorithms for autonomous UAV operations in GPS-denied or contested environments. The role involves integrating IMU, GNSS, visual odometry, magnetometer, barometer, and radar data; designing robust sensor processing pipelines; collaborating with autonomy, software, and hardware teams; and validating algorithms through simulation, laboratory testing, and field trials. Candidates need relevant experience, a bachelor’s degree or equivalent practical experience, C++ proficiency, Linux skills, and familiarity with navigation and estimation algorithms.

Required Skills

Sensor fusion
State estimation
C++11
Linux
Kalman filters
Visual odometry
CUDA

Additional Information

Minimum Education: Bachelor’s degree, or equivalent practical experience; alternatively, a master’s degree or PhD with reduced experience requirements.
Required Previous Experiences: At least 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.
Proficiency in C++11 or newer in real-time environments.
Experience working in Linux with command-line tools and scripting.
Experience 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, including Kalman filters, EKF, UKF, and 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, such as FPGAs.
Experience transitioning navigation solutions from research into production environments.
Translation Company Name: Shield AI