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Gnss Inertial Navigation Jobs (NOW HIRING)

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 ...

Furientis

Navigation Engineer, GNC

Los Angeles, CA

... 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 ...

AI Chopping Block

$129 - $191/hr

Experience characterizing, integrating, and testing inertial and non-inertial sensing modalities like INS, GNSS, vision-based, and odometry * Experience with navigation system design, development and ...

Pow.bio

Senior GNC Engineer (Navigation)

Rio Rancho, NM · On-site

$100 - $120/hr

Experience with inertial navigation systems (INS) and integration with external aiding sources (e.g., GNSS, star trackers, or similar sensors) * Familiarity with alternative navigation (alt‑nav ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

... GNSS, inertial sensors, encoders, and other vehicle systemsDevelop environmental models that support safe navigation, route planning, docking, alignment, loading, unloading, and material-movement ...

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How much do gnss inertial navigation jobs pay per hour?

As of Sep 6, 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 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.

What are the key skills and qualifications needed to thrive as a GNSS inertial navigation engineer?

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 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 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.

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Gnss Inertial Navigation jobs near you
Infographic showing various Gnss Inertial Navigation job openings in the United States as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $55,191 per year, or $26.5 per hour.

Navigation Engineer, GNC

Furientis

Los Angeles, CA • On-site

Full-time

Re-posted 25 days ago

Job description

America is critically deficient in production of defensive munitions- we currently produce shipborne interceptors in the few hundreds per year while our adversaries are producing offensive threats in the tens of thousands per year. Furientis was started to help solve this problem- introducing a new class of cost-effective, high production rate, interceptor missiles. We're seeking motivated individuals who internalize this problem and are eager to apply their past experience in similar industries (aerospace, defense, automotive/racing, robotics) and out of the box thinking to solve this problem for the US and its allies.
About the Team
The GNC team writes the guidance algorithms, navigation solution, and autopilot that take a launched interceptor from rail to intercept under realistic noise, disturbances, and adversary behavior. On a modern missile, GNC decides whether the rest of the system's investment converts into a hit. We treat the navigation solution as the load-bearing wall every guidance and control decision rests on.
What You'll Do
  • Design, tune, and harden an error-state EKF for tight INS/GNSS coupling, with graceful degradation under GNSS denial, jamming, and spoofing.
  • Characterize inertial sensors: bias, scale factor, misalignment, g-sensitivity, random walks, Allan variance, and temperature behavior across the envelope.
  • Own the navigation error budget across sensor noise, calibration residuals, lever arms, time sync, vibration rectification, and high-g transients. Flow requirements down to suppliers and up to miss-distance.
  • Develop pre-launch alignment and in-flight alignment procedures (gyrocompass, transfer alignment, motion-based observability injection) suitable for tactical timelines.
  • Integrate aiding sensors as needed (GNSS, magnetometer, baro, vision, terrain-referenced, star tracker) and write the observability and fault-detection logic that decides when to trust them.
  • Build the full nav simulation stack: truth models, sensor error models, Earth and gravity models, Monte Carlo harness, and HWIL bench with real IMUs and GNSS receivers under motion.
  • Implement the navigation filter in flight-grade C/C++, with deterministic timing, fixed-step execution, and numerical conditioning suitable for a flight processor.
  • Plan and execute environmental qualification of the inertial assembly per MIL-STD-810 and program environments, with attention to vibration rectification and coning/sculling error.
  • Stand up the navigation HWIL from zero: rate table, three-axis motion simulator, GNSS RF simulator, and a bench that exercises the IMU filter against injected faults.

Skills We're Hiring For
  • B.S. in Aerospace, Electrical, Mechanical Engineering, Applied Math, Physics, or related. M.S. or Ph.D. preferred.
  • 7+ years of navigation or estimation work, with responsibility for one production navigation filter from architecture through flight test.
  • Designed and tuned an EKF (error-state or full-state) from first principles, not just consumed a vendor's nav solution. You can defend your state vector, process noise, measurement model, and observability at the whiteboard.
  • Deep fluency with strapdown inertial navigation: quaternion and DCM mechanizations, coning and sculling, Earth and gravity models (WGS-84, J2+), and frame conventions (ECEF, ECI, NED, body).
  • Hands-on inertial sensor characterization: Allan variance, temperature calibration, g-sensitivity, scale factor and misalignment estimation, vibration rectification.
  • GNSS at receiver-output and signal-processing level: tight vs. loose coupling, RAIM, anti-jam and anti-spoof considerations, and realistic expectations under denial.
  • Flight-grade C/C++ (or Rust) for embedded targets. Comfortable with fixed-step real-time execution, numerical conditioning of covariance matrices, and the difference between a prototype and a flight build.
  • Python (NumPy/SciPy) for modeling and Monte Carlo. Able to stand up a harness with noise-source ablation and defend the results.
  • Bias for low-cost navigation: track record of meeting miss-distance requirements with MEMS IMUs where the legacy approach reached for a tactical-grade FOG or RLG. Filter sophistication can buy back sensor grade.
  • AI-native working style: daily use of agentic coding tools (Claude Code, Codex, or similar) for filter scaffolding, Monte Carlo analysis, and report generation.

Bonus Points For
  • Direct flight experience on a tactical missile, munition, or interceptor navigation system.
  • High-g navigation experience (sustained launch loads, gun-launched munitions, or hard-impact events).
  • Transfer alignment from a moving host platform (air-launched or ship-launched).
  • GNSS-denied navigation: vision-aided, terrain-referenced, celestial, signals-of-opportunity, or magnetic-anomaly.
  • Production transition: moved a nav solution from prototype to volume manufacturing, including factory calibration flow.
  • Technical vendor relationships across the inertial and GNSS supply chain (tactical-grade IMUs, MEMS arrays, GNSS receivers, antennas).
  • Hobbyist drone or rocketry build and flight experience that translates to sensor packaging, vibration, and field-handling intuition.

Eligibility & Logistics Location: On-site at our Los Angeles, CA HQ; remote work is not available. Monthly weekend travel for test events and supplier engagements. Clearance: A clearance is not required for this position. Must be a U.S. Person.
Equal Opportunity & Export Compliance Furientis is an equal-opportunity employer. To comply with U.S. export control laws, employment is contingent on eligibility to access export-controlled information.
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