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The Kalman Filter Jobs (NOW HIRING)

Ursus Inc

Navigation Software Engineer

San Jose, CA · On-site

$65/hr

... Kalman Filter, and GNSS/MEMS sensor fusion * Proven ability in debugging and optimizing complex ... Improve the software implementation for efficiency in code footprint, throughput, and CPU/RAM usage

Hayden AI

Senior State Estimation Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... the following: programming in C++; designing and developing software; classical ML, Linear Algebra, Stochastic Processes, Geometric Computer Vision and Optimization (Convex, Nonlinear); Kalman Filter ...

Hayden AI

Senior State Estimation Engineer

San Francisco, CA · On-site

$200K - $260K/yr

... the following: programming in C++; designing and developing software; classical ML, Linear Algebra, Stochastic Processes, Geometric Computer Vision and Optimization (Convex, Nonlinear); Kalman Filter ...

ANDURIL INDUSTRIES

Senior GNC Engineer

Seattle, WA

$132K - $198K/yr

By bringing the expertise, technology, and business model of the 21st century's most innovative ... High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters)

MVP Robotics

Robotics Software Engineer

Bradford, VT

MVP's robotic tackling dummies have been instrumental in mitigating head injuries on the football ... State Estimate & Kalman Filter Sensor Fusion * Demonstrated hands-on experience with camera systems ...

Advanced Space

Sr. Navigation Engineer

Westminster, CO · On-site

$132K - $174K/yr

The team at Advanced Space is leading humanity back to the Moon and pioneering innovative solutions ... Develop and validate advanced Kalman filter configurations for complex regimes (multi-body, low ...

Anduril Industries

Senior GNC Engineer

Seattle, WA

$118K - $163K/yr

ABOUT THE TEAM Anduril's Tactical Recon & Strike (TRS) is a division building highly capable ... High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters)

Advanced Space

Sr. Navigation Engineer

Westminster, CO · On-site

$132K - $174K/yr

The team at Advanced Space is leading humanity back to the Moon and pioneering innovative solutions ... Develop and validate advanced Kalman filter configurations for complex regimes (multi-body, low ...

ANDURIL INDUSTRIES

Senior GNC Engineer

Seattle, WA

$118K - $163K/yr

By bringing the expertise, technology, and business model of the 21st century's most innovative ... High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters)

Anduril Industries

Senior GNC Engineer

Seattle, WA

$119K - $163K/yr

By bringing the expertise, technology, and business model of the 21st century's most innovative ... High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters)

Anduril Industries

Senior GNC Engineer

Seattle, WA · On-site

$118K - $163K/yr

By bringing the expertise, technology, and business model of the 21st century's most innovative ... High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters)

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The Kalman Filter information

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$20K

$84.6K

$129.5K

How much do the kalman filter jobs pay per year?

As of Jun 6, 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 May 2026, with employment types broken down into 7% Locum Tenens, 2% Internship, 13% As Needed, and 78% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $84,586 per year, or $40.7 per hour.
Image Processing Engineer / SLAM Algorithm Engineer

Image Processing Engineer / SLAM Algorithm Engineer

Position Imaging, Inc.

Portsmouth, NH

Other

Posted 20 days ago

Job description

Company Description

Highly accurate wireless tracking in 3D space, enabling large-scale, immersive augmented and virtual reality experiences without the use of any markers.

Job Description

Design and develop real 3D image processing algorithms using SLAM for Augmented and Virtual Reality applications.

Qualifications

Expert in 3D computer vision, with specific focus on Visual SLAM.

Experience in statistically optimal filtering, such as the Kalman filter.

Past success with SLAM algorithm development.

Computer vision knowledge, reconstruction, feature detection, segmentation and classification.

C/C++ programming skills.

Familiarity with OpenCV or similar.

Experience with IMUs and mono/RGB sensors.

Feature tracking and/or Structure From Motion experience.

Strong communication skills


Additional Information

Education Requirements: Master's degree in Computer Science, PhD a plus

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