New 
Staff Algorithm Engineer - Pine Brook, NJ
 Kearfott Corporation | |
paid holidays, sick time, tuition assistance, 401(k)
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 United States, New Jersey, Pine Brook | |
 Sep 02, 2026 | |
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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.
We 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. For more information visit our website at www.kearfott.com Staff Algorithm Engineer Responsibilities Navigation and Localization * Assist development, analysis, testing, and production support of algorithm functions and subsystems for navigation, localization, estimation, guidance, control, and sensor fusion. * Contribute to the development of advanced navigation algorithms and support the transition of algorithms from simulations into embedded implementations. * Develop and maintain Monte Carlo simulations, covariance analyses, statistical analyses, and other tools used to evaluate algorithm performance. * Analyze requirements, evaluate technical trade-offs, and define algorithm approaches that satisfy accuracy, robustness, real-time, and implementation constraints. * Lead investigations of algorithm anomalies, numerical issues, performance limitations, and integration problems. * Mentor less-experienced engineers and provide technical guidance on algorithm development, analysis, and verification. * Lead 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. Model Based Workflows * Work within and contribute to the Model-Based Design and Systems Engineering workflow, particularly using the MathWorks toolchain. * Develop and maintain MATLAB and Simulink models, simulations, test cases, and analysis tools for algorithm development and verification. * Support requirements tracing from system-level requirements through algorithm design, implementation, and verification. * Assist Software-in-the-Loop, Processor-in-the-Loop, and Hardware-in-the-Loop testing activities. * Support auto-code generation and deployment of algorithms to embedded platforms, including Xilinx Zynq MPSoC, ARM-based processors, and FPGA-based systems. * Participate in model and algorithm design reviews, technical trade studies, and verification planning. * Review algorithm models, generated code, test results, analysis scripts, and technical documentation. * Contribute to improving modeling, coding, verification, configuration-management, and documentation practices. Sensors * Develop and analyze GPS/GNSS measurement-processing and signal-processing algorithms for navigation and localization applications. * Develop and support algorithms using inertial sensors, including Ring Laser Gyros, Fiber Optic Gyros, and MEMS sensors. * Contribute to inertial sensor calibration, compensation, alignment, error modeling, and performance characterization. * Support the integration and analysis of computer vision and other aiding sensors for navigation and localization applications. * Analyze sensor limitations, error sources, observability, and performance impacts at the subsystem and system levels. * Develop familiarity with chip-scale atomic clocks and timing considerations as they apply to navigation systems. Required Skills: Relevant Tool Proficiencies * Strong proficiency with the MathWorks toolchain, including MATLAB, Simulink, and navigation-related Toolboxes and Blocksets. * Modeling and simulation of navigation, estimation, sensor-processing, and control algorithms. * Monte Carlo simulations, covariance analyses, data analysis, and algorithm-performance characterization. * Algorithm testing, verification, validation, and regression testing. * Familiarity with auto-code generation and embedded algorithm implementation. * Software, Processor, and Hardware-in-the-Loop development and verification. * Proficiency in C/C++ and Python; familiarity with object-oriented programming methods. * Familiarity with requirements-management tools, configuration management, and embedded software workflows. Technical and Analytical Skills * Strong understanding of engineering mathematics, linear algebra, probability, statistics, numerical methods, and estimation theory. * Working knowledge of Kalman filtering, Bayesian estimation, nonlinear filtering, sensor fusion, inertial navigation, and GNSS. * Ability to translate requirements into algorithm designs, interfaces, performance objectives, and verification methods. * Ability to evaluate technical trade-offs and make sound engineering decisions with limited supervision. * Ability to analyze real and simulated data, identify root causes, and communicate technical conclusions clearly. * Ability to lead technical activities, participate in design reviews, and mentor less-experienced engineers. * Ability to collaborate effectively with software, systems, hardware, test, and program teams. Familiarity with Industry Trends * Future Airborne Capability Environment (FACE) open standard and pntOS. * Advanced GNSS, inertial navigation, resilient and GPS-denied navigation, and sensor-fusion technologies. * Production-level Kalman filters, navigation-grade IMU algorithms, computer vision, and other aiding-sensor technologies. * Machine learning, artificial intelligence, factor-graph optimization, and other emerging estimation techniques. * Embedded computing trends, real-time implementation, FPGA acceleration, and heterogeneous processing. * Applicable aerospace, defense, safety, and systems-engineering processes. Education/Experience/Other * M.S. or greater in Engineering (Aerospace, Controls, or Estimation), Physics or Applied Mathematics; Ph.D. preferred * Minimum 7+ years' experience * Travel - Approximately 10% for customer reviews, technical meetings, integration activities, and vehicle or platform test support. * Must be a US Citizen In 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. Additionally, 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. Equal Opportunity Employer/including Disabled/Veterans | |