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Kalman Filter Jobs Jobs (NOW HIRING)

Pronto.ai, Inc.

Robotics Controls Engineer

San Francisco, CA · On-site

$98K - $127K/yr

Develop a Kalman filter that gracefully handles GPS dropouts using IMU dead reckoning Pronto is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender ...

Moonshot Aerospace

GN&C Engineer (Remote)

Madison, AL · Remote

Experience with Kalman filter design and tuning for spacecraft applications * Terrain Relative Navigation (TRN), optical navigation, or multi-sensor fusion experience * Rendezvous and proximity ...

Protingent

Navigation Software Engineer

San Jose, CA

$65 - $75/hr

Hands-on experience in Motion Sensor software development, Kalman Filter, GNSS/MEMS integration and sensor fusion * Experience with Jira, Gerrit, Git. * Analysis of complex software to determine ...

Protingent

Navigation Software Engineer

San Jose, CA · On-site

$65 - $75/hr

Hands-on experience in Motion Sensor software development, Kalman Filter, GNSS/MEMS integration and sensor fusion * Experience with Jira, Gerrit, Git. * Analysis of complex software to determine ...

Pae

HLS Navigation Aerospace Engineer

Huntsville, AL

$90K - $110K/yr

Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of various partner approaches * Perform trade studies to assess navigation performance under dispersed model ...

Amentum

HLS Navigation Aerospace Engineer

Huntsville, AL · On-site

$90K - $110K/yr

Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of various partner approaches * Perform trade studies to assess navigation performance under dispersed model ...

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Kalman Filter Jobs information

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$20K

$84.6K

$129.5K

How much do kalman filter jobs jobs pay per year?

As of Jun 16, 2026, the average yearly pay for kalman filter jobs in the United States is $84,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Kalman Filter-related jobs, and why are they important?

To excel in Kalman Filter-related roles, you need strong mathematical, statistical, and signal processing knowledge, often backed by a degree in engineering, applied mathematics, or computer science. Familiarity with programming languages like MATLAB, Python, or C++, and experience with simulation tools and control systems, is typically required. Analytical thinking, problem-solving abilities, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills are vital because they enable you to design, implement, and optimize state estimation algorithms for real-world applications such as robotics, navigation, or sensor fusion.

What are some typical projects or applications that professionals working with Kalman Filters are involved in?

Professionals specializing in Kalman Filters often work on projects involving sensor fusion, navigation systems, robotics, and aerospace applications. These projects typically require designing algorithms to estimate and predict dynamic system states in real time, such as vehicle position, velocity, or orientation, using noisy sensor data. Collaboration is common with teams of engineers, data scientists, and software developers to integrate Kalman Filter solutions into larger systems, and professionals may also be involved in tuning and validating filter performance through simulations and field tests.

What are Kalman Filter jobs?

Kalman Filter jobs involve positions where professionals design, implement, or optimize Kalman Filters—mathematical algorithms used for estimating the state of a dynamic system from noisy sensor data. These jobs are common in fields like robotics, aerospace, navigation, and autonomous vehicles, where accurate real-time data processing is crucial. Professionals in these roles typically have expertise in control theory, signal processing, and programming languages such as Python, C++, or MATLAB. They work on tasks like sensor fusion, trajectory estimation, and real-time tracking applications.

What is the difference between Kalman Filter Jobs vs Data Scientist Jobs?

AspectKalman Filter JobsData Scientist Jobs
Required CredentialsEngineering degree, knowledge of control systems, signal processingStatistics, computer science, or related degrees, programming skills
Work EnvironmentEngineering teams, research labs, manufacturingTech companies, finance, healthcare, research institutions
Industry UsageNavigation, robotics, aerospace, control systemsData analysis, predictive modeling, machine learning
Search & Comparison IntentTechnical roles focusing on filtering algorithmsData analysis and modeling roles

Kalman Filter Jobs typically involve engineering and control systems, focusing on filtering algorithms for navigation and robotics. Data Scientist Jobs center on data analysis, machine learning, and statistical modeling. While both roles require programming skills, their industry applications and required credentials differ, catering to distinct career paths within technology and engineering sectors.

Infographic showing various Kalman Filter Jobs job openings in the United States as of June 2026, with employment types broken down into 1% Full Time, 98% Part Time, and 1% Temporary. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $84,586 per year, or $40.7 per hour.
Navigation Software Engineer

Navigation Software Engineer

LeadStack Inc.

San Jose, CA

$85/hr

Other

Posted 9 days ago

Job description

Navigation Software Engineer

Join a cutting-edge team optimizing embedded navigation solutions for GNSS, motion sensors, and sensor fusion in challenging environments like pedestrian, vehicular, and sports applications. You'll develop high-performance C/C++ algorithms to boost KPIs in code efficiency, CPU/RAM usage, and precision (e.g., PPP, RTK). Ideal for self-driven engineers with Master's/PhD expertise ready for international collaboration and rapid impact.

Contract Duration: 7+ months

Location: Onsite in San Jose, CA

Pay Rate: $85/hr on W2

Requirements
  • Master with 3+ years or PhD (preferred) related experience in Electrical Engineering, Geomatics Engineering, Applied physics, Aeronautical Engineering or related disciplines.
  • Embedded software development in C/C++ and rapid prototyping in Python or MATLAB
  • Hands-on experience in Motion Sensor software development, Kalman Filter, GNSS/MEMS integration and sensor fusion
  • Experience with Jira, Gerrit, Git
  • Analysis of complex software to determine anomalies and potential areas of improvement
  • Strong debugging skills
  • Understanding about VIO (Vision Inertial Odometer) is plus
  • Strong communication skills (verbal and written)
  • Able to work with minimal supervision, and highly collaborative in a team environment
  • Fast learning, hard-working, and self-driven
Key Responsibilities
  • Develop, implement, and optimize C/C++ code for Motion Sensor and Positioning algorithms in embedded software.
  • Enhance software efficiency in code footprint, throughput, CPU/RAM usage, and key performance indicators (KPIs) based on customer requirements and use cases.
  • Tune algorithm parameters to meet targets for pedestrian navigation, Dead Reckoning (DR), vehicular navigation, sports optimization, precise GNSS (PPP/RTK), and more.
  • Build analysis tools, debug complex software anomalies, and identify improvement areas.
  • Collaborate cross-functionally (internal/external teams) to deliver top product outcomes; travel domestically/internationally as needed.
  • Prepare and present technical reports on algorithms, software, and test results.

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