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Kalman Filtering Inertial Navigation Jobs (NOW HIRING)

AI Chopping Block

$129 - $191/hr

... inertial sensing modalities like INS, GNSS, vision-based, and odometry * Experience with navigation system design, development and testing on aerospace systems * Expertise in Kalman filtering ...

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Kalman Filtering Inertial Navigation information

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 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 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 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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Infographic showing various Kalman Filtering Inertial Navigation job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Guidance, Navigation, and Control (GNC) Engin

Synovix, Inc.

Woodland Hills, CA • On-site

$121K - $214K/yr

Full-time

Posted 13 days ago

Job description

Job Title: Guidance, Navigation, and Control (GNC) EngineerPosition Overview

Synovix is seeking two experienced Guidance, Navigation, and Control Engineers to support an on-site missile and weapon systems program for a defense customer in Northridge, California. The engineers will develop and assess guidance, navigation, control, estimation, and sensor-fusion solutions from early analysis through integration and test.

What You Will Do
  • Develop, analyze, and mature guidance, navigation, control, estimation, and sensor-fusion algorithms for missile and weapon system applications.
  • Design and tune Kalman filter-based estimators, including extended or unscented approaches where appropriate to the solution.
  • Develop and evaluate flight dynamics, navigation error models, autopilot functions, guidance laws, and control-system performance.
  • Use MATLAB and Simulink for trade studies, sensitivity analyses, Monte Carlo assessments, and requirements verification. Integrate algorithms with six-degree-of-freedom and hardware-in-the-loop environments.
  • Analyze system performance, document recommendations, and support technical reviews; establish GNC architecture, lead trades, mentor engineers, and coordinate across systems, software, algorithms, modeling, hardware, and test teams.
Required Qualifications
  • At least 8 years of relevant GNC, estimation, controls, navigation, or flight dynamics experience.
  • Bachelor's degree in aerospace engineering, mechanical engineering, electrical engineering, applied mathematics, physics, or a closely related technical discipline.
  • Strong foundation in dynamics, control theory, state estimation, numerical methods, and linear algebra.
  • Hands-on experience developing and evaluating algorithms in MATLAB and/or Simulink.
  • Experience analyzing time-domain and frequency-domain performance and communicating conclusions through technical documentation and reviews.
  • Ability to work full-time on site in Northridge, California.
  • U.S. citizenship and eligibility to obtain a U.S. government security clearance if required by the program; an active clearance is not required at hire.
Preferred Qualifications
  • Direct missile, interceptor, guided weapon, flight control, or aerospace GNC experience.
  • Experience with Kalman filtering, inertial navigation, GPS-aided navigation, sensor fusion, target-state estimation, or tracking.
  • Experience with six-degree-of-freedom simulation, Monte Carlo analysis, flight envelopes, and performance requirements allocation.
  • Working knowledge of C/C++, Python, embedded implementation, or automatic code-generation workflows.
  • Experience integrating radar, electro-optical/infrared, inertial, GPS, or other sensor data into a navigation or guidance solution.
  • Experience supporting software-in-the-loop, hardware-in-the-loop, ground test, flight test, or post-test data analysis.