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Navigation Algorithm Jobs (NOW HIRING)

Sr. Navigation Engineer

Burlingame, CA · On-site

$118K - $162K/yr

Responsibilities : • Design and optimize algorithms for centimeter-level accuracy in real-time ... navigation requirements flow down correctly to flight software and hardware interfaces.

Develop new Navigation, Autonomy, Sensor fusion and Collaboration features into our software and ... Algorithm development * Linux tools * Open Source robotics/perception libraries (e.g., Eigen, GDAL ...

Sr. Navigation Engineer

Burlingame, CA

$118K - $162K/yr

We're seeking a Senior Navigation Engineer to lead critical initiatives within our Navigation ... Design and optimize algorithms for centimeter-level accuracy in real-time and post-processed ...

Develop new Navigation, Autonomy, Sensor fusion and Collaboration features into our software and ... Algorithm development * Linux tools * Open Source robotics/perception libraries (e.g., Eigen, GDAL ...

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Navigation Algorithm information

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How much do navigation algorithm jobs pay per hour?

As of May 31, 2026, the average hourly pay for navigation algorithm in the United States is $27.36, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $22.12 per hour, depending on experience, location, and employer.

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

To excel as a Navigation Algorithm Engineer, you need a strong background in mathematics, control theory, and computer science, typically supported by a degree in engineering or a related field. Experience with simulation tools (such as MATLAB/Simulink), programming languages like Python or C++, and familiarity with sensor fusion and localization systems are critical. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are valuable soft skills. These competencies enable the design of robust, accurate, and reliable navigation solutions for applications like autonomous vehicles, robotics, and aerospace systems.

What are some common challenges faced by professionals working on navigation algorithms, and how can they be addressed?

Professionals developing navigation algorithms often encounter challenges such as dealing with sensor noise, integrating data from multiple sources (like GPS, IMU, and LiDAR), and ensuring real-time performance. Addressing these issues typically involves applying sensor fusion techniques, rigorous testing in diverse environments, and optimizing code for efficiency. Collaboration with hardware engineers and field testers is also crucial to refine algorithms and ensure reliability in real-world scenarios.

What are navigation algorithms?

Navigation algorithms are sets of computational methods and rules that enable a system, such as a robot, drone, or autonomous vehicle, to determine and follow an optimal path from one location to another. These algorithms process sensor data, map information, and environmental factors to avoid obstacles and ensure efficient movement. Common navigation algorithms include A*, Dijkstra’s algorithm, and simultaneous localization and mapping (SLAM). They are widely used in robotics, GPS devices, and self-driving cars to achieve safe and reliable navigation.

What is the difference between Navigation Algorithm vs GPS Technician?

AspectNavigation AlgorithmGPS Technician
Required CredentialsKnowledge of algorithms, programming skillsTechnical certifications, GPS system training
Work EnvironmentSoftware development, research labsFieldwork, installation and maintenance sites
Industry UsageNavigation systems, autonomous vehiclesNavigation device manufacturing, surveying
Common Search/ComparisonDeveloping navigation solutionsMaintaining GPS hardware

Navigation Algorithm professionals focus on designing and implementing algorithms that enable navigation systems, often working in software development environments. GPS Technicians, on the other hand, specialize in installing, repairing, and maintaining GPS hardware and systems. While both roles are integral to navigation technology, they differ in skills, work settings, and industry applications. Understanding these differences helps job seekers find the right career path or employer fit within the navigation industry.

Infographic showing various Navigation Algorithm job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $56,903 per year, or $27.4 per hour.

Sr. Navigation Engineer

Xona

Burlingame, CA • On-site

$118K - $162K/yr

Full-time

Posted 3 days ago


Job description

Job Summary:
Xona is a navigational intelligence company focused on delivering centimeter-level accuracy for devices globally. They are seeking a Senior Navigation Engineer to lead initiatives within their Navigation Software team, driving the technical direction for core positioning and timing capabilities while mentoring junior engineers.
Responsibilities:
• Design and optimize algorithms for centimeter-level accuracy in real-time and post-processed solutions.
• Lead development of OD pipelines, including filter tuning, maneuver handling, and multi-GNSS fusion strategies.
• Architect timing solutions that meet stringent stability requirements across the constellation.
• Develop and validate ionospheric and tropospheric correction models, integrating external data sources as needed.
• Define fault detection and exclusion frameworks to support safety-critical applications (aviation, maritime, autonomous systems).
• Serve as a technical liaison with payload software and systems engineering, ensuring navigation requirements flow down correctly to flight software and hardware interfaces.
Qualifications:
Required:
• MS or PhD in Aerospace Engineering, Electrical Engineering, Geomatics, Applied Mathematics, or a related field.
• 7+ years of experience in GNSS-based navigation, state estimation, or related domains (aerospace, autonomous systems, geodesy).
• Deep expertise in statistical estimation—extended/unscented Kalman filters, batch least squares, factor graphs, or similar.
• Proven track record shipping navigation algorithms from prototype to production.
• Strong Python skills for rapid prototyping and analysis; proficiency in C++ for flight or embedded implementations.
• Experience with GNSS data formats (RINEX, SP3, RTCM) and tools (GIPSY, Bernese, or similar).
• Familiarity with orbital mechanics, reference frames, and time systems.
• To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States (i.e. Green Card holder), or other protected individual as defined by 8 U.S.C. 1324b(a)(3).
• To comply with U.K. regulations, this role requires Baseline Personnel Security Standard (BPSS) checks, and successful candidates must be eligible to obtain UK Security Clearance (SC).
• Successful candidates must obtain and hold a security clearance at the reliability status level, and pass security assessment for the Canadian Controlled Goods Program (CGP) and ITAR.
Preferred:
• Experience with LEO PNT or multi-constellation/multi-frequency processing.
• Background in integrity and protection level computation (ARAIM, SBAS concepts).
• Prior work on real-time navigation systems with latency and throughput constraints.
• History of mentoring engineers or leading small technical teams.
Company:
Xona develops satellite navigation services delivering positioning, navigation, and timing data via a low Earth orbit network. Founded in 2019, the company is headquartered in Burlingame, USA, with a team of 51-200 employees. The company is currently Growth Stage.