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Kalman Filter Jobs Jobs (NOW HIRING)

Ursus Inc

Navigation Software Engineer

San Jose, CA

$65/hr

Strong experience in embedded software development using C/C++ with hands-on knowledge of Motion Sensor algorithms, Kalman Filter, and GNSS/MEMS sensor fusion * Proven ability in debugging and ...

Anduril Industries

GNC Engineer

Seattle, WA · On-site

High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters) * Fusion of diverse sensor modalities (IMU, EO/IR, Baro, ToF, Radar Altimeter, Star Trackers) You'll ...

MVP Robotics

Robotics Software Engineer

Bradford, VT

State Estimate & Kalman Filter Sensor Fusion * Demonstrated hands-on experience with camera systems and diverse sensor modalities, including radar and other perception sensors (e.g., LiDAR) * Path ...

Advanced Space

Sr. Navigation Engineer

Westminster, CO · On-site

$132K - $174K/yr

Develop and validate advanced Kalman filter configurations for complex regimes (multi-body, low-thrust, weak observability). * Serve as primary navigation lead for flight operations operations prep ...

Anduril Industries

Senior GNC Engineer

Seattle, WA · On-site

$118K - $163K/yr

High-fidelity state estimation using various Kalman filter types (Error-State, Invariant Filters) * Fusion of diverse sensor modalities (IMU, EO/IR, Baro, ToF, Radar Altimeter, Star Trackers) You'll ...

Advanced Space

Sr. Navigation Engineer

Westminster, CO

$132K - $174K/yr

Develop and validate advanced Kalman filter configurations for complex regimes (multi-body, low-thrust, weak observability). * Serve as primary navigation lead for flight operations operations prep ...

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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.

Embedded Software Engineer

Purplejack Technologies LLC

Mossville, IL • Hybrid

$95K - $126K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We have an urgent opening for a Robotics Software Engineer role for a 13-month hybrid contract opportunity in Mossville, IL. Please share strong matching profiles ASAP.
 
Job Title: Robotics Software Engineer
Location: Mossville, IL (Hybrid)
Duration: 13 Months
 
Required Skills:
• Strong experience in C++ software development
• Good hands-on experience with Python
• Experience with Robotics / Autonomous Systems
• Strong debugging, profiling, and troubleshooting skills
• Experience with State Estimation, Localization, and Navigation systems
• Knowledge of Kalman Filter / Extended Kalman Filter / Error State filtering
• Experience with SLAM and graph optimization techniques
• Hands-on experience with ROS (Robot Operating System)
• Strong understanding of 3D Geometry, Linear Algebra, and Statistical Modeling
• Experience working with GNSS, IMU, perception-based systems, and localization algorithms
• Ability to move prototypes into production-quality software
 
Preferred Skills:
• Inertial Navigation / Guidance Systems experience
• Physics-based vehicle modeling and dynamics
• Strong systems-thinking and research mindset
• Experience developing autonomous or semi-autonomous systems
 
Education:
• Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Computer Engineering, or Computer Science
Key Responsibilities:
• Develop production-quality C++ software for localization and positioning systems
• Design and implement localization and state estimation algorithms
• Work on SLAM, GNSS, inertial, and perception-based localization solutions
• Analyze and resolve software/application issues
• Participate in design, coding, validation, testing, and architecture discussions
• Collaborate with teams to prototype and productionize autonomous system algorithms

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