Algorithm Engineer
Listed on 2026-09-05
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Engineering
AI Engineer (Applied/Software), Robotics, Software Engineer
Location: Pine Brook
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.
- 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 Math Works 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:
- Strong proficiency with the Math Works 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…
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