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The Kalman Filter Jobs (NOW HIRING)

Moonshot Aerospace

GN&C Engineer (Remote)

Madison, AL · Remote

Experience with Kalman filter design and tuning for spacecraft applications * Terrain Relative ... Hardware-in-the-loop (HWIL) testing and integration * Flight software development or real-time ...

Pae

HLS Navigation Aerospace Engineer

Huntsville, AL

$90K - $110K/yr

The HLS Navigation Aerospace Engineer models the navigation systems of the Human Lander System (HLS ... Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of ...

Amentum

HLS Navigation Aerospace Engineer

Huntsville, AL · On-site

$90K - $110K/yr

The HLS Navigation Aerospace Engineer models the navigation systems of the Human Lander System (HLS ... Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of ...

Pae

HLS Navigation Aerospace Engineer

Huntsville, AL · On-site

$90K - $110K/yr

The HLS Navigation Aerospace Engineer models the navigation systems of the Human Lander System (HLS ... Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of ...

Amentum

HLS Navigation Aerospace Engineer

Huntsville, AL · On-site

$90K - $110K/yr

A Place Where You Belong P eople are at the heart of our business. We reflect a diversity of ... Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of ...

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All JobsThe Kalman Filter Jobs

The Kalman Filter information

See salary details

$20K

$84.6K

$129.5K

How much do the kalman filter jobs pay per year?

As of Jun 16, 2026, the average yearly pay for the kalman filter 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 is the difference between The Kalman Filter vs Data Scientist?

AspectThe Kalman FilterData Scientist
Required credentialsMathematics, control theory, engineeringStatistics, computer science, domain expertise
Work environmentEngineering, robotics, aerospaceTech companies, finance, healthcare
Industry usageSignal processing, navigation, roboticsData analysis, predictive modeling, machine learning

The Kalman Filter is a mathematical algorithm used primarily in engineering fields for estimating the state of a system over time. Data Scientists analyze data to extract insights and build predictive models. While both roles involve data and mathematics, The Kalman Filter focuses on real-time system estimation in technical environments, whereas Data Scientists work across various industries to interpret complex data sets and inform business decisions.

What are some common challenges faced by engineers when implementing the Kalman Filter in real-world applications?

Engineers implementing the Kalman Filter often encounter challenges such as accurately modeling system dynamics and noise characteristics, which are critical for optimal filter performance. Real-world systems may exhibit non-linearities and non-Gaussian noise that can reduce the effectiveness of the standard Kalman Filter, requiring adaptations like the Extended or Unscented Kalman Filter. Additionally, computational limitations can arise in embedded or real-time systems, necessitating careful algorithm optimization. Collaboration with domain experts is often essential to ensure the filter is properly tuned and integrated with other system components.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and data visualization platforms is typical, and certifications in data science or machine learning can be advantageous. Critical thinking, problem-solving abilities, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are crucial for deriving meaningful insights from data and driving informed decision-making in organizations.

What is a Kalman Filter?

A Kalman Filter is an algorithm that uses a series of measurements observed over time, containing noise and other inaccuracies, to estimate unknown variables more accurately than using a single measurement alone. It's widely used in fields like robotics, navigation, and control systems for sensor fusion and state estimation. The Kalman Filter works recursively, updating predictions and reducing uncertainty as new data comes in, making it ideal for real-time applications. It assumes that errors follow a normal distribution and that the system can be described with linear equations.
Infographic showing various The Kalman Filter job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, and 21% Part Time. 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 (Embedded/C/C++, GNSS & Sensor)

Navigation Software Engineer (Embedded/C/C++, GNSS & Sensor)

Xoriant Corporation

San Jose, CA

$75/hr

Other

Posted 9 days ago

Job description

Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.

TITLE:- Navigation Software Engineer (Embedded/C/C++, GNSS & Sensor)

LOCATION SanJose, CA

DURATION 12+ Months (May get extend)

MODE OF INTERVIEW Zoom/Webex

RATE $75 per hour on W2 (Without Benefits)

JOB DESCRIPTION

  • Develop, implement and optimize C/C++ code for the Motion Sensor and/or Positioning algorithms within our embedded software solution.
  • Improve the software implementation for efficiency in code footprint, throughput and CPU/RAM usage
  • Optimize parameters in the software solution to improve KPIs (Key Performance Indices) per the requirements from the customer and the target use cases of the solution
  • Develop necessary software tools for the analysis
  • Collaborate effectively with teams within and outside the organization for realizing the best product outcomes
  • Prepare and present detailed technical reports on algorithms, software and test results
  • Algorithm development may include areas such as pedestrian navigation, Dead Reckoning (DR), vehicular navigation, sports activity optimization using GNSS and various motion sensors under challenging environments, precise GNSS navigation (e.g. PPP, RTK) and scenarios necessary to enhance product performance KPIs.
  • Travel internationally and/or domestically to support product optimization for customers and to collaborate with team members in other geographies

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

Apply