Navigation Estimation Engineer information
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$57.5K - $66.3K
4% of jobs
$66.3K - $75.1K
5% of jobs
$90.8K is the 25th percentile. Wages below this are outliers.
$84K - $92.8K
11% of jobs
The median wage is $98.5K / yr.
$92.8K - $101.6K
35% of jobs
$109.3K is the 75th percentile. Wages above this are outliers.
$101.6K - $110.4K
15% of jobs
$110.4K - $119.2K
14% of jobs
$119.2K - $128K
5% of jobs
$128K - $136.9K
1% of jobs
$136.9K - $145.7K
1% of jobs
$145.7K - $154.5K
2% of jobs
How much do navigation estimation engineer jobs pay per year?
As of Sep 10, 2026, the average yearly pay for navigation estimation engineer in the United States is $103,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $112,500.00 per year, depending on experience, location, and employer.
A Navigation Estimation Engineer develops algorithms and systems that enable vehicles or devices to accurately determine their position, orientation, and velocity. This often involves working with sensors such as GPS, inertial measurement units (IMUs), and cameras, and applying techniques like sensor fusion and Kalman filtering. These engineers are vital in fields like aerospace, autonomous vehicles, robotics, and maritime navigation. Their work ensures that machines can navigate safely and efficiently in complex environments.
To thrive as a Navigation Estimation Engineer, you need a strong background in mathematics, control theory, sensor fusion, and estimation algorithms, typically with a degree in aerospace, electrical, or mechanical engineering. Familiarity with simulation tools like MATLAB/Simulink, Kalman filtering techniques, and experience with GNSS/INS systems are commonly required. Analytical thinking, problem-solving abilities, and effective communication are vital soft skills for this role. These skills ensure accurate navigation solutions, robust system performance, and effective collaboration in high-stakes engineering projects.
Navigation Estimation Engineers often encounter challenges when integrating data from multiple sensors, such as GPS, IMUs, and LiDAR, due to differences in data rates, noise characteristics, and potential signal loss. Ensuring reliable and accurate state estimation requires developing robust algorithms that can handle sensor discrepancies and environmental uncertainties. Collaboration with software, hardware, and testing teams is crucial to validate solutions in both simulated and real-world scenarios. Adapting to rapidly evolving technologies and maintaining system reliability under varying operational conditions are also key aspects of the role.
What are popular job titles related to Navigation Estimation Engineer jobs?
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