Engineer, State Estimation (Dallas/San Diego/Boston/ DC/ San Fran)

Shield AI · Dallas, TX · V-BAT Division

principal software engineering Principal Engineer tech_leadership · Posted Nov 4, 2025
$120,000 – $250,000
USD per-year-salary

About this role

Shield AI is hiring a principal-level Principal Engineer in the software engineering function based in Dallas, TX. The posting calls out experience with C++, CUDA, Computer Vision, Linux. Compensation is listed at $120,000–$250,000 per-year-salary.

Role
Principal Engineer
Function
software engineering
Level
principal
Track
Tech leadership
Employment
Full-time
Location
Dallas, TX
Department
V-BAT Division
Posted
Nov 4, 2025

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Job description

from Shield AI careers
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 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 www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
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.

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.
    • This is an excerpt. Read the full job description on Shield AI careers →
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