{"schemaVersion":"jobsearcher.job.v1","id":"01b2817823a58ebcbb1cf13a","url":"https://jobsearcher.com/jobs/01b2817823a58ebcbb1cf13a","canonicalUrl":"https://jobsearcher.com/jobs/01b2817823a58ebcbb1cf13a","title":"Staff Algorithm Engineer","description":"Founded in 1918, Kearfott Corporation, a global Aerospace and Defense supplier for over 100 years, is a leader in the design and manufacture of precision motion control products and inertial navigation components. Kearfott has a very long history of innovation and excellence and is the go-to brand for many of our global clients. Kearfott is trusted, respected and plays a vital role in the success of America's aerospace and defense industries. With over a century of expertise & experience, Kearfott is dedicated to providing quality, reliability, and cutting-edge technology to customers worldwide to meet their sea, land, air, and space navigation and guidance requirements.\n\nWe are looking for talented individuals who want to be part of a world-class work force. Join Kearfott and become part of a company that is recognized for technical expertise and respected world-wide as a ‘full service' provider.\n\nFor more information visit our website at www.kearfott.com\n\nStaff Algorithm Engineer\n\nResponsibilities\n\nNavigation and Localization\n\nAssist development, analysis, testing, and production support of algorithm functions and subsystems for navigation, localization, estimation, guidance, control, and sensor fusion.\nContribute to the development of advanced navigation algorithms and support the transition of algorithms from simulations into embedded implementations.\nDevelop and maintain Monte Carlo simulations, covariance analyses, statistical analyses, and other tools used to evaluate algorithm performance.\nAnalyze requirements, evaluate technical trade-offs, and define algorithm approaches that satisfy accuracy, robustness, real-time, and implementation constraints.\nLead investigations of algorithm anomalies, numerical issues, performance limitations, and integration problems.\nMentor less-experienced engineers and provide technical guidance on algorithm development, analysis, and verification.\nLead or support full-system investigations using simulations, desktop analyses, recorded data, and vehicle or platform testing. Coordinate technical activities with algorithm, software, systems, hardware, and test engineering teams.\n\nModel Based Workflows\n\nWork within and contribute to the Model-Based Design and Systems Engineering workflow, particularly using the MathWorks toolchain.\nDevelop and maintain MATLAB and Simulink models, simulations, test cases, and analysis tools for algorithm development and verification.\nSupport requirements tracing from system-level requirements through algorithm design, implementation, and verification.\nAssist Software-in-the-Loop, Processor-in-the-Loop, and Hardware-in-the-Loop testing activities.\nSupport auto-code generation and deployment of algorithms to embedded platforms, including Xilinx Zynq MPSoC, ARM-based processors, and FPGA-based systems.\nParticipate in model and algorithm design reviews, technical trade studies, and verification planning.\nReview algorithm models, generated code, test results, analysis scripts, and technical documentation.\nContribute to improving modeling, coding, verification, configuration-management, and documentation practices.\n\nSensors\n\nDevelop and analyze GPS/GNSS measurement-processing and signal-processing algorithms for navigation and localization applications.\nDevelop and support algorithms using inertial sensors, including Ring Laser Gyros, Fiber Optic Gyros, and MEMS sensors.\nContribute to inertial sensor calibration, compensation, alignment, error modeling, and performance characterization.\nSupport the integration and analysis of computer vision and other aiding sensors for navigation and localization applications.\nAnalyze sensor limitations, error sources, observability, and performance impacts at the subsystem and system levels.\nDevelop familiarity with chip-scale atomic clocks and timing considerations as they apply to navigation systems.\n\nRequired Skills:\n\nRelevant Tool Proficiencies\n\nStrong proficiency with the MathWorks toolchain, including MATLAB, Simulink, and navigation-related Toolboxes and Blocksets.\nModeling and simulation of navigation, estimation, sensor-processing, and control algorithms.\nMonte Carlo simulations, covariance analyses, data analysis, and algorithm-performance characterization.\nAlgorithm testing, verification, validation, and regression testing.\nFamiliarity with auto-code generation and embedded algorithm implementation.\nSoftware, Processor, and Hardware-in-the-Loop development and verification.\nProficiency in C/C++ and Python; familiarity with object-oriented programming methods.\nFamiliarity with requirements-management tools, configuration management, and embedded software workflows.\n\nTechnical and Analytical Skills\n\nStrong understanding of engineering mathematics, linear algebra, probability, statistics, numerical methods, and estimation theory.\nWorking knowledge of Kalman filtering, Bayesian estimation, nonlinear filtering, sensor fusion, inertial navigation, and GNSS.\nAbility to translate requirements into algorithm designs, interfaces, performance objectives, and verification methods.\nAbility to evaluate technical trade-offs and make sound engineering decisions with limited supervision.\nAbility to analyze real and simulated data, identify root causes, and communicate technical conclusions clearly.\nAbility to lead technical activities, participate in design reviews, and mentor less-experienced engineers.\nAbility to collaborate effectively with software, systems, hardware, test, and program teams.\n\nFamiliarity with Industry Trends\n\nFuture Airborne Capability Environment (FACE) open standard and pntOS.\nAdvanced GNSS, inertial navigation, resilient and GPS-denied navigation, and sensor-fusion technologies.\nProduction-level Kalman filters, navigation-grade IMU algorithms, computer vision, and other aiding-sensor technologies.\nMachine learning, artificial intelligence, factor-graph optimization, and other emerging estimation techniques.\nEmbedded computing trends, real-time implementation, FPGA acceleration, and heterogeneous processing.\nApplicable aerospace, defense, safety, and systems-engineering processes.\n\nEducation/Experience/Other\n\nM.S. or greater in Engineering (Aerospace, Controls, or Estimation), Physics or Applied Mathematics; Ph.D. preferred\nMinimum 7+ years' experience\nTravel - Approximately 10% for customer reviews, technical meetings, integration activities, and vehicle or platform test support.\nMust be a US Citizen\n\nIn compliance with pay transparency requirements, the salary range for this role in New Jersey is $140,000 - $160,000 annually. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to job-related knowledge and skills, experience, and internal consistency.\n\nAdditionally, we offer a medical, prescription, dental, vision, life, and disability insurance, a 401(k) plan with company match, tuition assistance, paid vacation and sick days, paid holidays, and a 9/80 work week with every other Friday off. Our work environment embraces our people as we enjoy monthly employee events that celebrates our workplace culture.\n\nEqual Opportunity Employer/including Disabled/Veterans\n\nShift: 1st Shift","company":"Kearfott","rawCompany":"kearfott","city":"Pine Brook","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-09-03T10:05:38.705Z","occupations":[{"code":"17-2011.00","title":"Aerospace Engineers","slug":"aerospace-engineers"},{"code":"15-2021.00","title":"Mathematicians","slug":"mathematicians"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"industries":[{"code":"334511","title":"Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing","slug":"search-detection-navigation-guidance-aeronautical-and-nautical-system-and-instrument-manufacturing"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541370","title":"Surveying and Mapping (except Geophysical) Services","slug":"surveying-and-mapping-except-geophysical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Algorithm Engineer","description":"Founded in 1918, Kearfott Corporation, a global Aerospace and Defense supplier for over 100 years, is a leader in the design and manufacture of precision motion control products and inertial navigation components. Kearfott has a very long history of innovation and excellence and is the go-to brand for many of our global clients. Kearfott is trusted, respected and plays a vital role in the success of America's aerospace and defense industries. With over a century of expertise & experience, Kearfott is dedicated to providing quality, reliability, and cutting-edge technology to customers worldwide to meet their sea, land, air, and space navigation and guidance requirements.\n\nWe are looking for talented individuals who want to be part of a world-class work force. Join Kearfott and become part of a company that is recognized for technical expertise and respected world-wide as a ‘full service' provider.\n\nFor more information visit our website at www.kearfott.com\n\nStaff Algorithm Engineer\n\nResponsibilities\n\nNavigation and Localization\n\nAssist development, analysis, testing, and production support of algorithm functions and subsystems for navigation, localization, estimation, guidance, control, and sensor fusion.\nContribute to the development of advanced navigation algorithms and support the transition of algorithms from simulations into embedded implementations.\nDevelop and maintain Monte Carlo simulations, covariance analyses, statistical analyses, and other tools used to evaluate algorithm performance.\nAnalyze requirements, evaluate technical trade-offs, and define algorithm approaches that satisfy accuracy, robustness, real-time, and implementation constraints.\nLead investigations of algorithm anomalies, numerical issues, performance limitations, and integration problems.\nMentor less-experienced engineers and provide technical guidance on algorithm development, analysis, and verification.\nLead or support full-system investigations using simulations, desktop analyses, recorded data, and vehicle or platform testing. Coordinate technical activities with algorithm, software, systems, hardware, and test engineering teams.\n\nModel Based Workflows\n\nWork within and contribute to the Model-Based Design and Systems Engineering workflow, particularly using the MathWorks toolchain.\nDevelop and maintain MATLAB and Simulink models, simulations, test cases, and analysis tools for algorithm development and verification.\nSupport requirements tracing from system-level requirements through algorithm design, implementation, and verification.\nAssist Software-in-the-Loop, Processor-in-the-Loop, and Hardware-in-the-Loop testing activities.\nSupport auto-code generation and deployment of algorithms to embedded platforms, including Xilinx Zynq MPSoC, ARM-based processors, and FPGA-based systems.\nParticipate in model and algorithm design reviews, technical trade studies, and verification planning.\nReview algorithm models, generated code, test results, analysis scripts, and technical documentation.\nContribute to improving modeling, coding, verification, configuration-management, and documentation practices.\n\nSensors\n\nDevelop and analyze GPS/GNSS measurement-processing and signal-processing algorithms for navigation and localization applications.\nDevelop and support algorithms using inertial sensors, including Ring Laser Gyros, Fiber Optic Gyros, and MEMS sensors.\nContribute to inertial sensor calibration, compensation, alignment, error modeling, and performance characterization.\nSupport the integration and analysis of computer vision and other aiding sensors for navigation and localization applications.\nAnalyze sensor limitations, error sources, observability, and performance impacts at the subsystem and system levels.\nDevelop familiarity with chip-scale atomic clocks and timing considerations as they apply to navigation systems.\n\nRequired Skills:\n\nRelevant Tool Proficiencies\n\nStrong proficiency with the MathWorks toolchain, including MATLAB, Simulink, and navigation-related Toolboxes and Blocksets.\nModeling and simulation of navigation, estimation, sensor-processing, and control algorithms.\nMonte Carlo simulations, covariance analyses, data analysis, and algorithm-performance characterization.\nAlgorithm testing, verification, validation, and regression testing.\nFamiliarity with auto-code generation and embedded algorithm implementation.\nSoftware, Processor, and Hardware-in-the-Loop development and verification.\nProficiency in C/C++ and Python; familiarity with object-oriented programming methods.\nFamiliarity with requirements-management tools, configuration management, and embedded software workflows.\n\nTechnical and Analytical Skills\n\nStrong understanding of engineering mathematics, linear algebra, probability, statistics, numerical methods, and estimation theory.\nWorking knowledge of Kalman filtering, Bayesian estimation, nonlinear filtering, sensor fusion, inertial navigation, and GNSS.\nAbility to translate requirements into algorithm designs, interfaces, performance objectives, and verification methods.\nAbility to evaluate technical trade-offs and make sound engineering decisions with limited supervision.\nAbility to analyze real and simulated data, identify root causes, and communicate technical conclusions clearly.\nAbility to lead technical activities, participate in design reviews, and mentor less-experienced engineers.\nAbility to collaborate effectively with software, systems, hardware, test, and program teams.\n\nFamiliarity with Industry Trends\n\nFuture Airborne Capability Environment (FACE) open standard and pntOS.\nAdvanced GNSS, inertial navigation, resilient and GPS-denied navigation, and sensor-fusion technologies.\nProduction-level Kalman filters, navigation-grade IMU algorithms, computer vision, and other aiding-sensor technologies.\nMachine learning, artificial intelligence, factor-graph optimization, and other emerging estimation techniques.\nEmbedded computing trends, real-time implementation, FPGA acceleration, and heterogeneous processing.\nApplicable aerospace, defense, safety, and systems-engineering processes.\n\nEducation/Experience/Other\n\nM.S. or greater in Engineering (Aerospace, Controls, or Estimation), Physics or Applied Mathematics; Ph.D. preferred\nMinimum 7+ years' experience\nTravel - Approximately 10% for customer reviews, technical meetings, integration activities, and vehicle or platform test support.\nMust be a US Citizen\n\nIn compliance with pay transparency requirements, the salary range for this role in New Jersey is $140,000 - $160,000 annually. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to job-related knowledge and skills, experience, and internal consistency.\n\nAdditionally, we offer a medical, prescription, dental, vision, life, and disability insurance, a 401(k) plan with company match, tuition assistance, paid vacation and sick days, paid holidays, and a 9/80 work week with every other Friday off. Our work environment embraces our people as we enjoy monthly employee events that celebrates our workplace culture.\n\nEqual Opportunity Employer/including Disabled/Veterans\n\nShift: 1st Shift","datePosted":"2026-09-03T10:05:38.705Z","dateModified":"2026-09-03T10:05:38.705Z","hiringOrganization":{"@type":"Organization","name":"Kearfott","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pine Brook","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"01b2817823a58ebcbb1cf13a"},"url":"https://jobsearcher.com/jobs/01b2817823a58ebcbb1cf13a"}}