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Kalman Filtering Inertial Navigation Jobs in Florida

Canvas

Data Link Navigation Engineer

Eglin, FL

Evaluate GNSS/INS integration, Kalman filtering approaches, and navigation algorithm performance. * Research, develop and modernize GNSS and alternative navigation (AltNav) HITL simulation ...

Zone 5 Technologies

GNC Engineer V/VI

Fort Walton Beach, FL · On-site

$188K - $216K/yr

... navigation, and control systems for UAS. This position involves driving innovation in flight ... Experienced in state estimation and Kalman filtering. * Proven ability to run and analyze SWIL and ...

Zone 5 Technologies

GNC Engineer V/VI

Fort Walton Beach, FL · On-site

$216K - $250K/yr

... navigation, and control systems for UAS. This position involves driving innovation in flight ... Experienced in state estimation and Kalman filtering. * Proven ability to run and analyze SWIL and ...

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Kalman Filtering Inertial Navigation information

What are the key skills and qualifications needed to thrive as a Kalman Filtering Inertial Navigation Engineer, and why are they important?

To thrive as a Kalman Filtering Inertial Navigation Engineer, you need a solid background in control systems, signal processing, and estimation theory, generally supported by a degree in electrical engineering, aerospace engineering, or a related field. Proficiency with MATLAB, Python, sensor fusion algorithms, and experience implementing Kalman filters in embedded systems are typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals collaborate across multidisciplinary teams and solve complex problems. These skills and qualifications are vital to ensure accurate navigation solutions and robust system performance in real-world applications.

What are some common challenges faced when implementing Kalman Filtering for inertial navigation systems?

One common challenge in this role is managing sensor noise and drift, which can significantly affect the accuracy of inertial navigation solutions. You'll need to carefully tune filter parameters and sometimes integrate additional sensor data (like GPS or magnetometers) to improve robustness. Collaboration with hardware teams is typical, as understanding sensor characteristics is crucial for optimal filter performance. Additionally, real-time processing constraints often require you to optimize algorithms for efficiency without sacrificing accuracy.

What is Kalman Filtering in inertial navigation?

Kalman Filtering in inertial navigation refers to the use of a mathematical algorithm—the Kalman filter—to estimate the position, velocity, and orientation of a moving object by processing data from inertial sensors such as accelerometers and gyroscopes. The Kalman filter improves the accuracy of navigation by optimally combining sensor measurements and correcting for errors and noise. This technique is essential in applications like aerospace, robotics, and autonomous vehicles, where precise movement tracking is required. By continuously updating estimates as new sensor data arrives, Kalman filtering helps provide reliable and real-time navigation solutions.

What is the difference between Kalman Filtering Inertial Navigation vs INS Algorithm Developer?

AspectKalman Filtering Inertial NavigationINS Algorithm Developer
CredentialsEngineering degrees, knowledge of Kalman filters, navigation systemsEngineering degrees, expertise in navigation algorithms, sensor fusion
Work EnvironmentResearch labs, aerospace, defense, autonomous vehicle developmentSoftware development, simulation, embedded systems in similar industries
Industry UsageDesign and implementation of navigation systems using Kalman filtersDeveloping algorithms for inertial navigation systems, improving accuracy

Kalman Filtering Inertial Navigation focuses on applying Kalman filters to process sensor data for navigation accuracy, while INS Algorithm Developers design and optimize algorithms for inertial navigation systems. Both roles require similar technical skills but differ in their primary focus: one on filtering techniques, the other on algorithm development.

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Kalman Filtering Inertial Navigation jobs near you

Senior Principal GNC Engineer (Guidance & Alternative Navigation)

Integration Systems

Fort Walton Beach, FL • On-site

Full-time

Posted 21 days ago

Job description

Description
Senior Principal GNC Engineer (Guidance & Alternative Navigation)
Position Overview IS4S is seeking an expert Senior Principal GNC Engineer to lead the development of advanced navigation and guidance laws for precision-guided munitions and autonomous systems. This role is critical for platforms operating in contested environments where GPS is unavailable or degraded. You will be the technical authority for state estimation and trajectory optimization, specifically focusing on Alternative Navigation (Alt-Nav) technologies.
The ideal candidate will have deep expertise in Kalman filtering and sensor fusion, with a proven ability to implement robust navigation solutions that do not rely solely on GNSS.
Key Responsibilities
  • Navigation Architecture: Lead the design and implementation of multi-sensor navigation suites. Architect state estimation filters (EKF, UKF, Particle Filters) that fuse data from IMUs, star trackers, and altimeters.
  • Alternative Navigation (Alt-Nav) Development: Drive the R&D of GPS-denied navigation solutions, including Vision-Based Navigation (VBN), Terrain Referenced Navigation (TRN), and Signals of Opportunity (SoOP).
  • Guidance Law Design: Develop and mature advanced guidance laws (e.g., Proportional Navigation, Optimal Control, Sliding Mode Control) for terminal precision and trajectory shaping.
  • Contested Environment Modeling: Create high-fidelity simulations to model GPS interference, multipath, and jamming scenarios to validate system resilience.
  • Algorithm-to-Hardware Implementation: Oversee the transition of GNC algorithms from MATLAB/Simulink models into flight-ready C/C++ code, ensuring real-time performance on embedded flight processors.
  • Modeling & Simulation (M&S): Lead the development of 6-Degree-of-Freedom (6-DoF) digital twins for missile and drone platforms to support Monte Carlo analysis and performance predictions.
  • Technical Milestone Leadership: Serve as the Subject Matter Expert (SME) during DoD technical reviews (PDR, CDR) and interface with government customers regarding navigation accuracy and drift requirements.

Technical Qualifications
  • Education: Bachelor's, Master's, or PhD in Aerospace, Electrical, or Mechanical Engineering with a focus on Estimation Theory or Control Systems.
  • Experience: 12-15+ years of experience in GNC development, specifically for DoD missiles, projectiles, or UAS.
  • Estimation Expert: Mastery of Extended Kalman Filters (EKF) and error-state formulations for inertial navigation.
  • GPS-Denied Expertise: Demonstrated experience in at least one Alt-Nav discipline:
    • Vision/Optical: Image processing for feature tracking or scene matching.
    • Terrain/Magnetic: Map-matching algorithms using digital elevation models.
    • Inertial: Deep understanding of IMU error modeling and bias compensation.
  • Tools: Expert proficiency in MATLAB/Simulink and C++. Experience with specialized tools like GNC toolboxes or flight simulation environments.
  • Security: Active DoD Secret Security Clearance required.

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