GNSS/IMU

fusion while being extensible to all-source navigation strategies incorporating diverse sensing modalities for GPS-degraded and denied environments.

Navigation System Architecture & Design:

Establish navigation performance requirements and error budgets for safety-critical applications Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components Design detailed software architecture for state estimation implementations, including module interfaces and data flow

Algorithm Development & Implementation:

Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches Implement tightly-coupled and loosely-coupled

GNSS/INS

integration algorithms Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems Implement integrity monitoring and protection level calculations for safety-critical operations

Certification & Verification:

Develop verification and validation test plans for navigation algorithms onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation Document navigation system design, requirements allocation, and compliance evidence Support safety assessment activities including failure modes and effects analysis

Technical Leadership:

Provide technical guidance on navigation architecture and state estimation approaches Support trade studies evaluating navigation sensor suites and fusion strategies Mentor junior engineers on state estimation theory and implementation 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 Ability to obtain a S//SAR level security clearance desired. 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 #LI-SM1 #LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference 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.

group id:

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