What you'll do: Navigation System Architecture & Design: Establish navigation performance requirements and error budgets for safety-critical applicationsSupport decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software componentsDesign detailed software architecture for state estimation implementations, including module interfaces and data flowAlgorithm Development & Implementation: Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approachesImplement tightly-coupled and loosely-coupled GNSS/INS integration algorithmsIntegrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environmentsDevelop fault detection, isolation, and recovery (FDIR) strategies for navigation systemsImplement integrity monitoring and protection level calculations for safety-critical operationsCertification & Verification: Develop verification and validation test plans for navigation algorithmsonduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluationDocument navigation system design, requirements allocation, and compliance evidenceSupport safety assessment activities including failure modes and effects analysisTechnical Leadership: Provide technical guidance on navigation architecture and state estimation approachesSupport trade studies evaluating navigation sensor suites and fusion strategiesMentor junior engineers on state estimation theory and implementationRequired qualifications: MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field15+ years of experience developing state estimation algorithms for aerospace navigation applicationsDemonstrated experience implementing GNSS/INS integration solutionsExperience with safety-critical system development and certification processesDeep understanding of state estimation theoryExperience implementing multi-sensor fusion algorithms in production systemsStrong background in inertial navigation, GNSS positioning, and sensor error modelingStrong programming skills in C/C++ and Python/MATLAB for algorithm development and analysisUnderstanding of integrity monitoring, protection levels, and safety assessment methodsExperience with requirements management and verification/validation processes for certifiable systemsUnderstanding of GPS/GNSS signal structure, error sources, and performance characteristicsKnowledge of IMU error models, calibration, and Allan variance analysisFamiliarity with alternative navigation sensors (camera, RF ranging, celestial, etc.)Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)Preferred qualifications: PhD in relevant field with focus on state estimation or navigationDirect involvement in certified navigation system development from requirements through flight testExperience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.)Publications or patents in navigation or state estimationExperience with GPS/GNSS jamming and spoofing mitigation techniquesClearance eligible or active security clearance#LI-SM1 #LFFull-time regular employee offer package: Pay within range listed + Bonus + Benefits + EquityTemporary 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. This role requires deep expertise in state estimation theory, extensive practical experience implementing ownship navigation systems in the aerospace domain, and strong software development skills for production-quality navigation code.