Principal Engineer, State Estimation (r4602)

Shield AI Shield AI · Defense · San Diego, CA +3 · Remote · X-BAT Engineering - Software

Experienced state estimation engineer to design, develop, and deploy safety-critical navigation solutions for aerospace platforms. Requires expertise in state estimation theory, practical experience with ownship navigation systems, and strong software development skills for production-quality navigation code. Role involves designing a unified navigation architecture extensible to all-source navigation strategies in GPS-degraded environments.

What you'd actually do

  1. Establish navigation performance requirements and error budgets for safety-critical applications
  2. Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components
  3. Design detailed software architecture for state estimation implementations, including module interfaces and data flow
  4. Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches
  5. Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms

Skills

Required

  • MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field
  • 15+ years of experience developing state estimation algorithms for aerospace navigation applications
  • Demonstrated experience implementing GNSS/INS integration solutions
  • Experience with safety-critical system development and certification processes
  • Deep understanding of state estimation theory
  • Experience implementing multi-sensor fusion algorithms in production systems
  • Strong background in inertial navigation, GNSS positioning, and sensor error modeling
  • Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis
  • Understanding of integrity monitoring, protection levels, and safety assessment methods
  • Experience with requirements management and verification/validation processes for certifiable systems
  • Understanding of GPS/GNSS signal structure, error sources, and performance characteristics
  • Knowledge of IMU error models, calibration, and Allan variance analysis
  • Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.)
  • Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)
  • Must be eligible to obtain a clearance

Nice to have

  • PhD in relevant field with focus on state estimation or navigation
  • Direct involvement in certified navigation system development from requirements through flight test
  • Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.)
  • Publications or patents in navigation or state estimation
  • Experience with GPS/GNSS jamming and spoofing mitigation techniques

What the JD emphasized

  • safety-critical
  • state estimation theory
  • production systems
  • safety-critical applications
  • safety-critical operations
  • safety assessment activities
  • certifiable systems