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Gnss Inertial Navigation Jobs (NOW HIRING)

VectorNav Technologies

Senior Navigation Engineer

Dallas, TX

$103K - $142K/yr

VectorNav Technologies is the leading innovator and manufacturer of embedded navigation solutions using the latest in MEMS inertial sensor and GPS/GNSS technology. Since our founding in 2008, we have ...

VectorNav Technologies

Senior Navigation Engineer

Dallas, TX · On-site

$97K - $134K/yr

VectorNav Technologies is the leading innovator and manufacturer of embedded navigation solutions using the latest in MEMS inertial sensor and GPS/GNSS technology. Since our founding in 2008, we have ...

VectorNav Technologies

Senior Navigation Engineer

Dallas, TX · On-site

$97K - $134K/yr

VectorNav Technologies is the leading innovator and manufacturer of embedded navigation solutions using the latest in MEMS inertial sensor and GPS/GNSS technology. Since our founding in 2008, we have ...

Wing

Navigation Engineer

Palo Alto, CA · On-site

Wing is looking for a Navigation Engineer to join our Guidance, Navigation and Control (GN&C) team ... Provide expertise in various sensor modalities, including GNSS and inertial systems, and their ...

Furientis

Navigation Engineer, GNC

Los Angeles, CA · On-site

... GNSS denial, jamming, and spoofing. * Characterize inertial sensors: bias, scale factor ... Own the navigation error budget across sensor noise, calibration residuals, lever arms, time sync ...

Helsing

Senior Navigation Engineer

Washington, DC · On-site

$118K - $162K/yr

You will own GNSS performance end-to-end, from antenna selection (including CRPAs) through receiver integration (SAASM, M-Code) to sensor fusion with inertial and vision-based navigation systems. You ...

Helsing

Senior Navigation Engineer

Washington, DC · On-site

$118K - $162K/yr

You will own GNSS performance end-to-end, from antenna selection (including CRPAs) through receiver integration (SAASM, M-Code) to sensor fusion with inertial and vision-based navigation systems. You ...

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How much do gnss inertial navigation jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for gnss inertial navigation in the United States is $26.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $28.61 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in GNSS/Inertial Navigation roles, and how can they be addressed?

Professionals in GNSS/Inertial Navigation roles often face challenges such as signal interference, multipath errors, and maintaining accuracy in environments where satellite signals are weak or obstructed (e.g., urban canyons, tunnels). Addressing these challenges typically involves integrating advanced sensor fusion algorithms, regularly calibrating inertial measurement units (IMUs), and collaborating closely with hardware and software engineering teams to enhance system robustness. Continuous learning and staying updated with the latest advancements in GNSS and sensor technology are also key to overcoming these obstacles and ensuring reliable navigation solutions.

What are the key skills and qualifications needed to thrive as a GNSS Inertial Navigation Engineer, and why are they important?

To excel as a GNSS Inertial Navigation Engineer, you need a strong background in electrical engineering, physics, or related fields, with expertise in navigation algorithms and sensor fusion. Familiarity with GNSS receivers, inertial measurement units (IMUs), simulation software (like MATLAB or Simulink), and programming languages such as C/C++ or Python is typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for addressing complex technical challenges and collaborating across multidisciplinary teams. These competencies ensure the development of robust and accurate navigation systems critical for applications in aerospace, automotive, and defense industries.

What is the difference between Gnss Inertial Navigation vs Geospatial Data Analyst?

AspectGnss Inertial NavigationGeospatial Data Analyst
Required CredentialsEngineering degree, specialized training in navigation systemsGeography, GIS, or related degree, data analysis certifications
Work EnvironmentField testing, engineering labs, R&D facilitiesOffice, GIS labs, remote sensing environments
Industry UsageAerospace, defense, autonomous vehiclesUrban planning, environmental management, mapping
Search & Comparison IntentTechnical, engineering-focusedData analysis, mapping, GIS applications

Gnss Inertial Navigation specialists focus on developing and maintaining navigation systems that combine satellite signals with inertial sensors, primarily in engineering and technical environments. In contrast, Geospatial Data Analysts interpret spatial data for mapping and planning. While both roles involve geospatial technology, their skills, tools, and industry applications differ significantly.

What is a GNSS Inertial Navigation specialist?

A GNSS Inertial Navigation specialist is a professional who works with systems that combine Global Navigation Satellite Systems (GNSS) like GPS with inertial navigation sensors to determine precise positioning and movement. These specialists design, implement, and troubleshoot integrated navigation solutions used in applications such as aviation, autonomous vehicles, surveying, and geospatial mapping. Their expertise ensures reliable navigation even when satellite signals are weak or unavailable by leveraging inertial measurement units (IMUs) to fill in gaps. They often analyze data, calibrate sensors, and optimize system performance for accuracy and reliability.
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Gnss Inertial Navigation jobs near you
Infographic showing various Gnss Inertial Navigation job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $55,191 per year, or $26.5 per hour.
Senior Software Engineer, Inertial Navigation

Senior Software Engineer, Inertial Navigation

Waymo

Mountain View, CA • On-site

$144K - $190K/yr

Other

Posted 12 days ago

Job description

Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.        

You will:

  • Develop algorithms to improve the accuracy and robustness of our core state estimation algorithm.
  • Engineer and deploy robust, production-quality C++ software to fuse data from inertial, GNSS, and other advanced sensors into our algorithm for both new and existing vehicle platforms.
  • Build and maintain tools, pipelines, and evaluation frameworks to rigorously assess positioning system performance across millions of miles of real-world driving data.
  • Leverage Waymo's massive datasets to conduct large-scale analyses and optimizations, fine-tune sensor models, characterize system performance, identify root causes of failures, and establish performance guarantees.
  • Collaborate closely within a multi-disciplinary team of engineers to solve complex technical challenges, contribute to a culture of high standards, and share your expertise with fellow team members.

You have:

  • MS, PhD or equivalent industry experience.
  • Expertise in state estimation theory and application, including Kalman Filters, particle filters, factor graphs, and nonlinear optimization techniques.
  • Deep understanding of inertial navigation principles, including sensor modeling, IMU error characterization, calibration, and multi-sensor fusion with GNSS and other aiding sensors.
  • Strong C++ skills and ability to write high quality production level code.

We prefer:

  • Previous experience in the autonomous vehicle industry, particularly in inertial navigation, localization, perception, or sensor fusion.
  • Experience with computer vision, visual inertial odometry, SLAM, ICP or other sensor modalities.
  • Experience developing and using tools for large-scale data analysis and visualization (e.g., SQL, Python with libraries like NumPy, Pandas, Matplotlib).
  • Familiarity with machine learning techniques applied to sensor fusion, sensor calibration, or positioning problems.

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