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Kalman Filtering Inertial Navigation Jobs in Ohio

Sr. Electronic Engineer

Dayton, OH

$104K - $128K/yr

Support the development of signal conditioning, filtering (Kalman, complementary, Madgwick), and ... You have a proven track record working with Inertial Measurement Units (IMUs), specifically with ...

Sr. Electronic Engineer

Dayton, OH · On-site

$104K - $128K/yr

Support the development of signal conditioning, filtering (Kalman, complementary, Madgwick), and ... You have a proven track record working with Inertial Measurement Units (IMUs), specifically with ...

Kalman Filtering Inertial Navigation information

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 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.

GNC M&S Engineer

Full-time

Re-posted 12 hours ago


Job description

Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
Job Description
Our government customers want assistance with guidance, navigation and control (GNC) subsystem modeling within their missile models. Specifically, they need our team to augment their GNC and seekers team by modeling and integrating subsystems, such as navigation systems, terminal sensors, and communication systems, within their Simulink-based modeling architecture; furthermore, our customers want to leverage our team's knowledge of navigation techniques, guidance algorithms, Kalman filters, communications, terminal sensing technologies, and sensor/track fusion algorithms. Additionally, our team must adhere to their modeling and simulation (M&S) standards. Also, our team will work directly with our customers to ensure a model satisfying their M&S standards and design goals. Lastly, our team must validate model performance against performance data including the authorship of a model performance report.
Required Experience and Knowledge:
  • Candidates should have at least three years of proven experience in GNC system analysis pertaining to algorithm development; inertial and satellite navigation technology; sensor fusion and integration techniques; and classical and modern controls.
  • Candidates should have knowledge of guidance and navigation techniques of various aerospace vehicles and an understanding of classical dynamics.
  • Candidates should have demonstrated skill sets in modeling, simulation, and analysis software such as MATLAB/Simulink and experience in at least one or more general purpose programming languages such as C, C++, and Python.
  • The candidate must be a motivated self-starter who is able to work both independently and in a collaborative team environment, often with minimal guidance.
  • The candidate must have sufficient communication skills in conveying complex technical issues and in providing comprehensive written, oral and/or digital products. The candidate must also have sufficient technical writing and presentation development skills.
  • The candidate must have good analytic skills and the ability to apply them in a multi-tasking environment where more than one project may require the candidate's participation at any given time (typically one primary project and one or two ancillary projects).

Minimal Qualifications:
  • 8 years of experience with development of 6DOF aerospace models.
  • Demonstrated conscientious and collaborative work habits to effectively augment our customers GNC team.

Desired Qualifications
  • A master's degree in either electrical or aerospace engineering with an emphasis on either control theory, modeling & simulation, or mathematical optimization of dynamic systems.
  • Specific experience with inertial instruments, inertial measurement units, and global satellite navigation systems and their use in navigation and guidance systems.
  • Specific experience in performing guidance and control error analysis.
  • Demonstrated experience with software developmental practices including version control (e.g. via git), test driven software development, and object-oriented programming.

Educational Requirements
  • Bachelor's degree in mechanical engineering, aerospace engineering or a related field.

Clearance Requirements:
  • Applicants must have at least an active SECRET clearance.
  • Applicants should have an active TOP SECRET clearance with Sensitive Compartmentalized Information (SCI) eligibility.
  • U.S. Citizenship is required for most positions.

Job Site
  • Beavercreek, Ohio

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