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Kalman Filtering Inertial Navigation Jobs in Seattle, WA

SLAM Architect (Robotics)

Seattle, WA · On-site

$63 - $86.25/hr

... navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM ... Qualifications: * Advanced knowledge of state estimation, Kalman filters, and factor graphs.

SLAM Architect (Robotics)

Seattle, WA · On-site

$63 - $86.25/hr

... navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM ... Qualifications: * Advanced knowledge of state estimation, Kalman filters, and factor graphs.

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.

Infographic showing various Kalman Filtering Inertial Navigation job openings in Seattle, WA as of June 2026, with employment types broken down into 76% Full Time, 12% Part Time, 10% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.
Sr. Flight Navigation Engineer

Sr. Flight Navigation Engineer

Reliable Robotics

Seattle, WA

$215K - $300K/yr

Other

Posted 23 days ago


Job description

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Senior Flight Navigation Engineer at Reliable Robotics, you will be part of the Guidance, Navigation and Control Team. You will contribute to the navigation system design, implementation, and testing, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

  • Define navigation system requirements in collaboration with internal and external stakeholders

  • Analyze, source, and select sensor solutions for use in the navigation system

  • Develop sensor models in simulation for evaluation of the navigation system

  • Implement state estimation algorithms in flight software

  • Establish test methods to ensure compliance with requirements, best practices, and regulatory standards

  • Evaluate the navigation system performance via simulation, hardware-in-loop, and flight test cases

Basic Success Criteria

  • MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

  • Technical expertise in one of the following areas: Kalman filtering; GNSS navigation; inertial navigation; or alternative navigation technologies

  • 8+ years of professional experience developing and testing navigation algorithms

  • Professional experience with developing C/C++ flight software and Python data reduction & analysis

  • Excellent written and verbal communication skills

Preferred Criteria

  • PhD in aerospace engineering, electrical engineering, computer science, or similar advanced degree

  • Technical expertise in one of the following areas: probability theory; fault detection and exclusion (FDE); sensor error/noise modeling; or GPS-denied navigation

  • Experience developing software for safety critical applications

  • Experience with navigation system certification

We are building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the whole team, you will contribute to a novel navigation system that drives our mission forward.

Employees working from our headquarters in Mountain View, CA may expect very little travel. Employees working from Seattle, WA or remotely can expect 20% travel.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to work@reliable.co

Compensation Range: $215K - $300K