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Kalman Filtering Inertial Navigation Jobs (NOW HIRING)

W3Global Inc.

Senior Navigation Engineer

Dallas, TX · On-site

$140K - $190K/yr

... Kalman filtering * Strong verbal, written, and interpersonal communication skills * Hands-on experience with inertial navigation systems, GPS/GNSS technology, or modern control systems using real ...

Wing

Navigation Engineer

Palo Alto, CA · On-site

Provide expertise in various sensor modalities, including GNSS and inertial systems, and their ... Develop filtering solutions, such as Kalman Filters and other linear and non-linear filters, to ...

VectorNav Technologies

Senior Navigation Engineer

Dallas, TX · On-site

$97K - $134K/yr

... inertial navigation systems * Research and develop novel GNSS-denied navigation filtering ... D. preferred) * 10+ years experience in navigation and state estimation, particularly Kalman ...

VectorNav Technologies

Senior Navigation Engineer

Dallas, TX · On-site

$97K - $134K/yr

... inertial navigation systems * Research and develop novel GNSS-denied navigation filtering ... D. preferred) * 10+ years experience in navigation and state estimation, particularly Kalman ...

Wing

Navigation Engineer

Palo Alto, CA · On-site +1

$182K - $242K/yr

Provide expertise in various sensor modalities, including GNSS and inertial systems, and their ... Develop filtering solutions, such as Kalman Filters and other linear and non-linear filters, to ...

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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?

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 May 2026, with employment types broken down into 1% Internship, 95% Full Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Senior Navigation Engineer

Senior Navigation Engineer

W3Global Inc.

Dallas, TX • On-site

$140K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

About the Company

Our Client is a leading innovator and manufacturer of embedded navigation solutions using advanced MEMS inertial sensors and GPS/GNSS technology. Since its founding in 2008, the company has built a team of highly motivated professionals, engineers, and entrepreneurs focused on becoming a global leader in embedded navigation solutions.

Our Client tackles some of the world's most complex navigation challenges, develops high-performance inertial sensing products, and partners with transformative technology companies worldwide. As a fast-growing and dynamic organization, Our Client is seeking talented individuals to help drive its continued success.

Position: Senior Navigation Engineer

Our Client is seeking a Senior Navigation Engineer to join the R&D team and contribute to advancing next-generation navigation technologies.

Key Responsibilities

  • Advance state-of-the-art estimation algorithms for inertial navigation systems

  • Research and develop GNSS-denied navigation filtering techniques using diverse sensing modalities

  • Utilize MATLAB for simulation and analysis of real-world customer datasets

  • Collaborate with customer support teams to incorporate feedback and enhance software performance

Requirements

  • Bachelor's degree in Aerospace or Mechanical Engineering (Master's or Ph.D. preferred)

  • 10+ years of experience in navigation and state estimation, particularly Kalman filtering

  • Strong verbal, written, and interpersonal communication skills

  • Hands-on experience with inertial navigation systems, GPS/GNSS technology, or modern control systems using real-world data

  • Proficiency in programming and analysis tools such as MATLAB, C/C++, Python, or similar

Benefits

  • Comprehensive Benefits: Medical, dental, and vision insurance; vacation time; holidays; sick leave; 401(k)

  • Training & Development: Opportunity to learn from leading engineers and grow within a highly innovative environment

  • Perks: Weekly catered lunches and a fully stocked break room with recreational amenities (billiards, ping pong, foosball, and more)

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About W3Global

Sourced by ZipRecruiter

W3Global has been delivering staffing solutions for nearly two decades; we know which recruiting strategies work best. Our expert team is committed to developing a customized solution to fit your company’s unique needs. As a W3Global client, you’ll also receive personalized assistance from a seasoned team of staffing specialists. We are committed to providing both technical support and industry expertise to simplify the hiring process. We know that your time matters. W3Global will help you streamline the hiring process, getting it done and getting it right.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Frisco, TX, US

Year founded

2006

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