Staff Algorithm EngineerResponsibilitiesNavigation 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 - $160,000annually. 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.
