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Kalman Filtering Inertial Navigation Jobs (NOW HIRING)

Sr. Navigation Engineer

Denver, CO · On-site

$156K - $219K/yr

Demonstrated expertise in designing and implementing Kalman filters for Inertial Navigation Systems (INS). * Strong theoretical and practical understanding of inertial sensors (accelerometers ...

Sr. Navigation Engineer

Seattle, WA · On-site

$156K - $219K/yr

Demonstrated expertise in designing and implementing Kalman filters for Inertial Navigation Systems (INS). * Strong theoretical and practical understanding of inertial sensors (accelerometers ...

Understanding of vehicle dynamics and experience with inertial navigation systems * Familiarity ... Experience with state estimation and filtering methods such as Kalman or particle filters ...

Understanding of vehicle dynamics and experience with inertial navigation systems * Familiarity ... Experience with state estimation and filtering methods such as Kalman or particle filters ...

... Kalman Filtering o GNSS/MEMS integration o Sensor fusion techniques Experience using development ... Familiarity with Vision Inertial Odometry (VIO) is a plus Excellent written and verbal ...

Showing results 41-60

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.

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Infographic showing various Kalman Filtering Inertial Navigation job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Sr. Navigation Engineer

Blue Origin

Denver, CO • On-site

$156K - $219K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Blue Origin rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

17th of 71 rated aerospace companies


Job description

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!

This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin's mission of millions of people living and working in space for the benefit of Earth. The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design.

As a Senior Navigation Engineer in our Guidance, Navigation, and Control (GNC) and Avionics team, you will be at the forefront of developing and implementing cutting-edge navigation solutions for our advanced systems. You will take a leading role in designing, analyzing, and testing navigation algorithms and systems. Your expertise will be crucial in ensuring the accuracy, and reliability of our navigation performance. This position requires a deep theoretical understanding and practical ability to develop sophisticated estimation algorithms, including Kalman filters, for real-world applications.

Responsibilities include but are not limited to:

  • Design, develop, and implement advanced navigation and estimation algorithms, with a primary focus on Kalman filters for Inertial Navigation Systems (INS).
  • Model and simulate inertial sensors (e.g., accelerometers, gyroscopes) and GPS receivers to analyze and predict navigation system performance.
  • Lead the integration of navigation components into the broader GNC and avionics architecture.
  • Develop and execute test plans to verify and validate navigation system performance in both simulation and hardware-in-the-loop environments.
  • Analyze sensor data to characterize and calibrate inertial measurement units (IMUs) and other navigation sensors.
  • Troubleshoot and resolve complex navigation-related issues found during testing and operations.
  • Mentor junior engineers and provide technical leadership in the field of navigation systems.
  • Collaborate with cross-functional teams, including hardware, software, and systems engineers, to deliver integrated solutions.

Minimum Qualifications:

  • Master's degree in Aerospace Engineering, Electrical Engineering, or a related discipline.
  • 5-10 years of experience in navigation systems analysis, design, and testing.
  • Demonstrated expertise in designing and implementing Kalman filters for Inertial Navigation Systems (INS).
  • Strong theoretical and practical understanding of inertial sensors (accelerometers, gyroscopes) and GPS technology.
  • Proficiency in simulation and analysis tools such as MATLAB/Simulink.
  • Solid programming skills in C++ or Python for algorithm development and data analysis.
  • Proven ability to lead technical projects and mentor other engineers.
  • Excellent analytical, problem-solving, and communication skills.
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Preferred Qualifications:

  • Ph.D. in a relevant field with a focus on estimation theory or navigation.
  • Experience with tightly-coupled and loosely-coupled GPS/INS integration.
  • Hands-on experience with testing and validating navigation systems on hardware.
  • Knowledge of other navigation techniques, such as terrain-relative navigation, star trackers, or visual odometry.
  • Familiarity with navigation system software and hardware development for safety-critical applications.

Please let me know if you would like any modifications or further details added.


Base Pay Range for:

CA applicants is $156,802.00 - $219,522.45 CO applicants is $144,179.00 - $201,849.90 WA applicants is $156,802.00 - $219,522.45

Other site ranges may differ

Culture Statement

Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S.as a refugee or granted asylum.

Background Check

  • Required for all positions: Blue's Standard Background Check

  • Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation

  • Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.

  • Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

  • Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.

  • Stock Options for all regular employees (working at least 20 hours/week)

  • Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.

  • Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here.

Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us atEEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.


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About Blue Origin

Sourced by ZipRecruiter

Blue Origin is a private aerospace manufacturing and suborbital spaceflight services company based in Kent, Washington, USA. Established in 2000 by Amazon founder Jeff Bezos, the company operates in the cutting-edge aerospace industry aiming to build a future where millions of people can live and work in space. They develop a variety of technologies, with a focus on reusable rocket systems which significantly reduce the cost of space travel. Blue Origin's core mission is to make this vision come to life by incrementally building on its successes with an ultimate vision of dramatic cost reduction and increased reliance on reusable spacecraft.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Kent, WA, US

Year founded

2000