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Gnss Inertial Navigation Jobs (NOW HIRING)

jobs.frontdoordefense.com - Jobboard

WI · On-site

$160 - $240/hr

Practical understanding of inertial navigation systems (INS), GNSS integration, and navigation error modeling. * Ability to deploy and maintain robust, efficient, production‑level C++ code.

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

  • Medical

  • Retirement

  • PTO

Process and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systems * Develop environmental models that support safe navigation, route planning, docking ...

Autonomous Solutions/A S I

Perception Engineer IV

Mendon, UT · On-site

  • Medical

  • Retirement

  • PTO

Process and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systems * Develop environmental models that support safe navigation, route planning, docking ...

New

Autonomous Solutions

Perception Engineer IV

Mendon, UT

  • Medical

  • Retirement

  • PTO

Process and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systems * Develop environmental models that support safe navigation, route planning, docking ...

Viavi Solutions

Solutions Engineer

Germantown, MD · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Provide technical pre-sales support for the PNT product portfolio including GNSS receivers, timing systems, and inertial navigation products * Deliver technical expertise to customer engineers for ...

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How much do gnss inertial navigation jobs pay per hour?

As of Aug 16, 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?

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 August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $55,191 per year, or $26.5 per hour.

Location Technology Systems Engineer

Qualcomm

Santa Clara, CA • On-site

Full-time

Re-posted 29 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
This role is an advanced development position within the Location Technology Systems Engineering organization. The successful candidate will contribute to the design, development, and commercialization of next-generation location solutions for high-volume commercial products. The position involves system-level ownership of location technologies, spanning algorithm development, performance analysis, optimization, and cross-functional collaboration to bring robust and scalable location capabilities into production.
Key Responsibilities
  • Design, simulate, and develop location system algorithms and architectures spanning multiple positioning technologies
  • Perform system-level modeling, performance prediction, and tradeoff analysis across accuracy, robustness, latency, power, and scalability
  • Develop and optimize algorithms for multi-sensor and multi-technology fusion, combining information from GNSS, inertial sensors, terrestrial signals, and vision-based inputs
  • Analyze and mitigate location error sources, including signal propagation effects, multipath, interference, sensor noise, and receiver implementation limitations
  • Collaborate closely with algorithm, software, hardware, and product teams to drive implementation, integration, and commercialization of location technologies
  • Support bring-up, validation, and performance analysis using real-world data across diverse environments (indoor, outdoor, urban, and challenging conditions)

Required Skills
  • Strong background in location systems, navigation, or related fields
  • Solid understanding of estimation theory and probabilistic state estimation, including Kalman filtering or related techniques
  • Proficiency in Python for algorithm development, modeling, data analysis, and performance evaluation
  • Ability to work across disciplines and communicate complex technical concepts effectively

Preferred Qualifications
  • Experience with multi-constellation muti-frequencies GNSS positioning
  • Experience with terrestrial positioning technologies, such as cellular-based positioning, Wi-Fi positioning, or other radio-based ranging and fingerprinting approaches
  • Familiarity with vision- or camera-based positioning, including visual odometry, visual-inertial navigation, or feature-based localization concepts
  • Experience with multi-sensor fusion and system-level algorithm development
  • Experience applying machine learning techniques, such as learning-based modeling, classification, regression, or data-driven performance enhancement
  • Background in signal processing, sensor modeling, and large-scale data analysis
  • Experience taking algorithms from research or prototyping into product-quality implementations

Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$129,200.00 - $193,800.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

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Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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