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Kalman Filtering Inertial Navigation Jobs in Alabama

... Inertial Measurement Units (IMUs), Radar, Lidar, and Camera sensor models * Tune, modify, and ... Sensor fusion and Kalman Filtering experience relating to either onboard strap-on navigation (e.g.

HLS Navigation Aerospace Engineer

Huntsville, AL · On-site

$90K - $110K/yr

... Inertial Measurement Units (IMUs), Radar, Lidar, and Camera sensor models * Tune, modify, and ... Sensor fusion and Kalman Filtering experience relating to either onboard strap-on navigation (e.g.

HLS Navigation Aerospace Engineer

Huntsville, AL · On-site

$90K - $110K/yr

... Inertial Measurement Units (IMUs), Radar, Lidar, and Camera sensor models * Tune, modify, and ... Sensor fusion and Kalman Filtering experience relating to either onboard strap-on navigation (e.g.

HLS Navigation Aerospace Engineer

Huntsville, AL · On-site

$90K - $110K/yr

... Inertial Measurement Units (IMUs), Radar, Lidar, and Camera sensor models * Tune, modify, and ... Sensor fusion and Kalman Filtering experience relating to either onboard strap-on navigation (e.g.

Fuse simulated and real-world sensor inputs including inertial sensors, GPS, magnetometers ... extended Kalman filters, unscented Kalman filters, particle filters, or factor graphs.

The Contested Autonomy & Navigation Branch of the Leidos Innovations Center provides cutting-edge ... Kalman filters, particle filters, or factor graphs. * Experience working with Inertial Measurement ...

... Kalman filters, particle filters, or factor graphs. * Experience working with Inertial Measurement ... Good working knowledge of navigation architectures as part of a flight system involving closed-loop ...

The Contested Autonomy & Navigation Branch of the Leidos Innovations Center provides cutting-edge ... Kalman filters, particle filters, or factor graphs. * Experience working with Inertial Measurement ...

... navigation, and control or controls engineering * Experience designing autopilot and control algorithms * Experience with state estimation techniques (e.g., Kalman filtering or related methods)

... navigation, and control or controls engineering * Experience designing autopilot and control algorithms * Experience with state estimation techniques (e.g., Kalman filtering or related methods)

... navigation, and control or controls engineering * Experience designing autopilot and control algorithms * Experience with state estimation techniques (e.g., Kalman filtering or related methods)

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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.

What are popular job titles related to Kalman Filtering Inertial Navigation jobs in Alabama? For Kalman Filtering Inertial Navigation jobs in Alabama, the most frequently searched job titles are:

Navigation Lead Engineer for Human Landing Systems

Mclaurin Aerospace

Huntsville, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you!

We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA's pursuits in deep space exploration.

We have an exciting opportunity for a Navigation Lead Engineer for Human Landing Systems to join our ESSCA contract team at NASA Marshall Space Flight Center in Huntsville, AL.

Job Functions:

  • Lead the insight/oversight effort of the HLS GNC group (across NASA centers) with regards to all aspects of the navigation system
  • Leading efforts for the Modeling and simulation of landing performance analysis of HLS trajectories
  • Leading efforts for the integration of all relevant models into the simulation, including on-orbit estate estimation using ground tracking (e.g. range and doppler form Deep Space Network stations), on-board state estimation fusing inertial measurements with terrain relative sensing such as optical, radar, lidar measurements
  • Stewards trade studies to assess navigation performance under dispersed model parameters to assess uncertainty of unknown model parameters, and evaluates navigation margins
  • Assesses HLS commercial partner test data and partner sensors and models
  • Develops in-house models and/or integrates sensor models from HLS commercial providers into 6-DOF simulations such as the GeneraLized Aerospace Simulation in Simulink (GLASS) tool
  • Performs and stewards deep space navigation studies to assess HLS partner's navigation performance using FreeFlyer, MONTE or JSC-Linear Covariance Tool (SIGMA)
  • Execute/modify existing software/scripts in Python, Matlab, Fortran, C++
  • Communicates naviation margin findings to HLS Chief Engineer and HLS commercial partners
  • Maintains and strengthens NASA HLS cross-center navigation team
  • Develops and coordinates with the GNC discipline strategic planning for growing navigation expertise at MSFC

Provide demonstrated (minimum of 10 years) expertise to support the Human Landing Systems (HLS) program navigation team at the level of a Subject Matter Expert, as part of the Guidance Navigation and Control (GNC) discipline. Specifically, this task will entail technical leadership of a team of navigation engineers achieve safe Moon landing and return to Earth. Programming skills and mentoring abilities are highly desired.

Qualifications

A degree in Aerospace Engineering, Mechanical Engineering, Physics or related field from an ABET accredited institution is required. Typical experience requirements are:

• Ph.D., with minimum of 14 years of experience,
• MS with at least 18 years of experience, or
• BS with at least 20-25 years of experience.

To be successful in this position, the applicant must be detail oriented, work independently and collaboratively, possess strong communication and interpersonal skills, and will typically possess some of the following skills:

  • Orbit Determination and Deep Space Navigation (Free Flyer, ODTK, MONTE, GMAT, Linear Covariance)
  • Radar, LIDAR experience
  • IMU, accelerometer, rate gyro modeling, GPS
  • Terrain Relative Navigation
  • Kalman Filtering and sensor fusion.
  • Dynamically model descent systems
  • Python, Fortran, C++ , Matlab & Simulink programming experience
  • Support the design, integration, and analysis of GN&C products.
  • Configure, conduct, and analyze 6-DOF Monte Carlo simulations.
  • Familiarity with Linux, Bash, and the use of computational clusters/servers
  • Proof of U.S. Citizenship is required.

The candidate is REQUIRED to have the following skills and experiences:

  • Significant navigation experience
  • Technical leadership experience
  • Deep space navigation including ground tracking orbit determination or similar experience
  • Onboard strap on navigation, including IMU, Radar/Lidar, sensor fusion, and Kalman filtering or similar experience

Duties

Day to day activities include:

  • Technical leadership of the HLS navigation team's modeling and simulation of HLS system, including simulation integration, visualization, analysis, and trade studies
  • Interfacing with commercial HLS partners and other NASA centers
  • Debriefs to HLS partners and HLS Chief Engineers
  • Perform and/or steward Deep Space Navigation studies, including Orbit determination accuracy of the HLS though its trajectory using FreeFlyer, MONTE and/or LinearCovariance (SIGMA) tools
  • Dynamic modeling of the HLS trajectory
  • Creating, editing and debugging software written in Python, Matlab, Fortran, and C/C++.
  • Optimization and improvement of analysis tools and GN&C models.
  • Working with GN&C leads and other engineering disciplines.
  • Supporting the verification and validation of technical products.
  • Preparing and presenting technical reports and briefings.

Benefits

  • Competitive pay
  • Positive work-life balance
  • 100% Employer paid insurance including: Medical, dental, vision, life insurance, accidental death and dismemberment, short-term disability, and long-term disability
  • 11 paid holidays annually
  • Generous PTO
  • 401k after 12 months of service with employer match
  • Education assistance
  • Relocation assistance (if applicable)

Mclaurin is a unique organization with a special focus on combining the best features of research and industry in order to foster innovation. Our organization strongly supports research, publication, and engagement with the academic community. We encourage our employees to remain on the cutting edge of new developments in their respective disciplines.

US Citizenship and the ability to pass a comprehensive security background investigation is required.

Mclaurin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.