... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
Navigation Engineer (Experienced or Senior)
Herndon, VA · On-site
$107.50K - $147.60K/yr
Kalman filtering ). * Knowledge of sensor aided navigation or inertial navigation . * Knowledge of advanced mathematical principles as applied to aerospace analysis and modeling such as transform ...
Navigation Engineer (Experienced or Senior)
Herndon, VA · On-site
$107.50K - $147.60K/yr
Kalman filtering ). * Knowledge of sensor aided navigation or inertial navigation . * Knowledge of advanced mathematical principles as applied to aerospace analysis and modeling such as transform ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
Navigation Engineer (Experienced or Senior)
Herndon, VA · On-site
$107.50K - $147.60K/yr
Kalman filtering ). * Knowledge of sensor aided navigation or inertial navigation . * Knowledge of advanced mathematical principles as applied to aerospace analysis and modeling such as transform ...
Navigation Engineer (Experienced or Senior)
Herndon, VA · On-site
$107.50K - $147.60K/yr
Kalman filtering ). * Knowledge of sensor aided navigation or inertial navigation . * Knowledge of advanced mathematical principles as applied to aerospace analysis and modeling such as transform ...
Navigation Engineer (Experienced or Senior)
$107.50K - $147.60K/yr
Kalman filtering ). * Knowledge of sensor aided navigation or inertial navigation . * Knowledge of advanced mathematical principles as applied to aerospace analysis and modeling such as transform ...
Navigation Engineer (Experienced or Senior)
$107.50K - $147.60K/yr
Kalman filtering ). * Knowledge of sensor aided navigation or inertial navigation . * Knowledge of advanced mathematical principles as applied to aerospace analysis and modeling such as transform ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
GNC Aerospace Engineer
Dahlgren, VA · On-site
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
GNC Aerospace Engineer
Dahlgren, VA · On-site
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
GNC Aerospace Engineer
Dahlgren, VA · On-site
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
GNC Aerospace Engineer
Dahlgren, VA · On-site
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
GNC Aerospace Engineer
Dahlgren, VA · On-site
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
GNC Aerospace Engineer
Dahlgren, VA · On-site
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
Navigation Lead
Arlington, VA · On-site
$180K - $300K/yr
About the role Forterra is seeking a Navigation Lead to lead the design, development, and ... Drive algorithmic choices for Kalman filtering, non-linear optimization, sensor calibration, and ...
Navigation Lead
Arlington, VA · On-site
$180K - $300K/yr
About the role Forterra is seeking a Navigation Lead to lead the design, development, and ... Drive algorithmic choices for Kalman filtering, non-linear optimization, sensor calibration, and ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
... Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S ...
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?
| Aspect | Kalman Filtering Inertial Navigation | INS Algorithm Developer |
|---|---|---|
| Credentials | Engineering degrees, knowledge of Kalman filters, navigation systems | Engineering degrees, expertise in navigation algorithms, sensor fusion |
| Work Environment | Research labs, aerospace, defense, autonomous vehicle development | Software development, simulation, embedded systems in similar industries |
| Industry Usage | Design and implementation of navigation systems using Kalman filters | Developing 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 Virginia? For Kalman Filtering Inertial Navigation jobs in Virginia, the most frequently searched job titles are:
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What job categories do people searching Kalman Filtering Inertial Navigation jobs in Virginia look for? The top searched job categories for Kalman Filtering Inertial Navigation jobs in Virginia are:
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What cities in Virginia are hiring for Kalman Filtering Inertial Navigation jobs? Cities in Virginia with the most Kalman Filtering Inertial Navigation job openings:
Other
Posted 9 days ago
Job description
Join JRC's Strategic Defense & International Operations (SDIO) Team!
We are seeking a GNC Engineer (Aerospace Engineer) to develop and refine guidance, navigation, and control algorithms supporting advanced weapon system modeling, simulation, and flight performance analysis. This role involves trajectory analysis, sensor integration, 6 DOF simulation, telemetry evaluation, and control system development using MATLAB/Simulink, Python, and C/C++ in support of mission-critical aerospace and defense programs.
What You'll Do
- Develop, implement, and refine GNC algorithms for guidance laws, control loops, navigation filters, and state estimation.
- Support weapon system modeling and simulation, including 6 DOF (six degrees of freedom) simulation environments and subsystem integration.
- Perform trajectory analysis, mission performance evaluations, and control system stability assessments.
- Develop navigation solutions integrating IMUs, GPS, INS, seekers, and other sensor modalities.
- Conduct Monte Carlo analysis, uncertainty modeling, and system performance sensitivity studies.
- Implement GNC prototypes in MATLAB/Simulink, Python, C/C++, or equivalent simulation frameworks.
- Analyze telemetry, flight test data, and HWIL/SIL outputs to validate system performance.
- Support requirements decomposition, interface definition, and subsystem integration with E20 system engineering teams.
- Document models, test results, algorithm behavior, and performance in technical reports and presentations.
- Participate in technical reviews, design sessions, and engineering working groups with government and contractor personnel.
What You Bring to the Table
- An active DoD security clearance at the SECRET level or above (or have held an active DoD clearance within the last 2 years)
- Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, or related discipline (Master's preferred).
- 4+ years' experience in GNC engineering, missile guidance, flight controls, or related system modeling.
- Proficiency in MATLAB/Simulink and at least one programming language (Python or C/C++).
- The successful candidate shall have experience with guidance algorithms (proportional navigation, pursuit guidance, optimal guidance, intercept geometry), navigation & estimation, Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S (Modeling & Simulation), MATLAB/Simulink, Python (NumPy/SciPy), C/C++ for embedded or real time simulation, and familiarity with 6 DOF modeling.
- Ability to work with E20 technical SMEs to develop or refine analytical tools, performance models, or algorithmic improvements.
- Ability to obtain and maintain a DoD Secret clearance (current Secret preferred).
Bonus Points
- Familiarity with hardware in the loop (HWIL) or software in the loop (SIL) environments is a plus.
- Experience supporting missile systems, unmanned systems, or weapons/flight dynamics programs.
- Experience supporting NSWCDD, NAVSEA, or other DoD weapons engineering divisions.
- Experience with aerospace flight test data analysis or guidance law verification.
- Knowledge of seeker modeling, sensor suite integration, or autopilot tuning.