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Kalman Filter Estimation Jobs (NOW HIRING)

Robotics Controls Engineer

San Francisco, CA · On-site

$98K - $127K/yr

Experience with state estimation (Kalman filters, EKF/UKF) * Proficiency in Python and NumPy/SciPy ... Background in signal processing and filter design * Knowledge of system identification techniques

Implement and validate state estimation filters (EKF) or control laws depending on subdiscipline ... Experience with Kalman filter design and tuning for spacecraft applications * Terrain Relative ...

Eng Sr Prin - Test

UT · On-site

$120K - $205K/yr

Implement and utilize Kalman filter or linear covariance methods for IMU error assessment using ... Experience with developing and implementing state estimation tools (linear covariance, least ...

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Kalman Filter Estimation information

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$20K

$84.6K

$129.5K

How much do kalman filter estimation jobs pay per year?

As of Jun 10, 2026, the average yearly pay for kalman filter estimation 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 as a Kalman Filter Estimation Engineer, and why are they important?

To excel as a Kalman Filter Estimation Engineer, you need a strong background in control theory, linear algebra, statistics, and typically a degree in electrical engineering, robotics, or applied mathematics. Familiarity with MATLAB, Python, C++, and simulation tools like Simulink, as well as experience implementing Kalman filters in real-time systems, is highly valued. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with multidisciplinary teams and presenting complex results. These competencies ensure accurate state estimation and system reliability in applications such as navigation, robotics, and sensor fusion.

What is the difference between Kalman Filter Estimation vs Signal Processing Engineer?

AspectKalman Filter EstimationSignal Processing Engineer
CredentialsMathematics, control systems, engineering degreesElectrical engineering, computer science, or related fields
Work EnvironmentResearch labs, aerospace, robotics, automationCommunications, audio/video, telecommunications industries
Industry UsageNavigation, robotics, sensor fusionFiltering, data analysis, signal enhancement

Kalman Filter Estimation focuses on estimating the state of dynamic systems using mathematical models, often in robotics and navigation. Signal Processing Engineers design and implement algorithms to analyze and modify signals in various industries. While both roles involve data analysis and mathematical skills, Kalman Filter Estimation is specialized in state estimation for control systems, whereas Signal Processing Engineers work broadly on signal manipulation and enhancement.

What are some common challenges faced by professionals working in Kalman Filter Estimation, and how can they be addressed?

Professionals working in Kalman Filter Estimation often encounter challenges such as model inaccuracies, noisy sensor data, and computational limitations, especially in real-time applications. Addressing these issues typically involves rigorous sensor calibration, careful tuning of filter parameters, and choosing appropriate variants of the Kalman filter, such as the Extended or Unscented Kalman Filter for nonlinear systems. Collaboration with domain experts and regular validation against ground truth data also help ensure robust performance. Additionally, staying updated with the latest research and tools in estimation theory can provide innovative solutions to emerging challenges.

What is Kalman Filter Estimation?

Kalman Filter Estimation is a mathematical algorithm used to estimate the state of a dynamic system from a series of noisy measurements. It is widely applied in fields such as robotics, aerospace, and navigation to provide real-time, optimal estimates of unknown variables by combining predictions from a model with observed data. The filter works recursively, meaning it updates its estimates and uncertainties as new measurements become available. Its strength lies in efficiently handling uncertainties and noise in both the system model and the measurements.
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What states have the most Kalman Filter Estimation jobs? States with the most job openings for Kalman Filter Estimation jobs include:
Sr. Navigation Engineer with Security Clearance

Sr. Navigation Engineer with Security Clearance

Advanced Space

Westminster, CO

$132K - $174K/yr

Other

Medical, Retirement

Posted 20 days ago


Job description

The team at Advanced Space is leading humanity back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster, Colorado, this incredible team is looking for a Sr. Spacecraft Navigation Engineer who's eager to push the state of the art in spacecraft navigation technology.

This position is responsible for leading development efforts, supporting a technically diverse team, and conducting detailed analyses of navigation technology and missions. The ideal candidate will be an experienced professional who can drive innovation, mentor junior engineers, and support spaceflight operations. This role will be based in Westminster, Colorado, and the ideal candidate will have a passion for the exploration, development, and settlement of space.

This position is open to U.S. Persons only (U.S. citizens, or lawful permanent residents), as required by applicable laws and regulations.

THE FOLLOWING ACTIVE SECURITY CLEARANCE is desired but not required - TS/SCI IS PREFERRED We do not provide visa sponsorship or support work authorization for this role. Candidates must be authorized to work in the U.S. without the need for current or future sponsorship.

Responsibilities * Lead spacecraft navigation for all mission phases, including formulation, tracking architecture development, estimation approach, and operations. * 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, including console support, real-time OD, and anomaly response.

* Architect navigation solutions that account for mission design, GNC, communications, and ground system constraints. * Own navigation products for major reviews, clearly communicating performance, trades, and risks. * Mentor junior navigation engineers in OD, filter design, measurement modeling, and operations best practices.

* Drive improvements to navigation procedures, tool setups, and standard operating practices. * Support BD and IRAD by shaping navigation concepts, contributing to proposals, and defining new mission and capability concepts. Required Qualifications * 8-12 years of professional experience in spacecraft navigation, orbit determination, or closely related flight dynamics roles.

* Bachelor's degree in Aerospace Engineering, Systems Engineering, or related field. * Demonstrated leadership of OD campaigns or major navigation tasks, including filter setup, force models, and tracking strategies. * Proven ability to design and adapt Kalman filters for new dynamical and tracking regimes, including dynamic, bias, stochastic, and consider parameters.

* Significant experience with navigation/astrodynamics tools (e.g., MONTE, FreeFlyer, ODTK, GMAT, STK) in flight or flight-like applications. * Strong navigation operations experience, including nav operator training/certification or equivalent console and contingency support. * Ability to act as primary navigation point of contact, interacting with vendors and partners, driving requirements, owning verification/validation, and conducting system-level trades.

* Excellent written and verbal communication, with a record of leading technical presentations and navigation analysis reports. * US. Person (U.S.

citizen or lawful permanent resident), able to work on-site in Westminster, CO. Desired Qualifications * Master's or PhD with emphasis on Kalman filters, state estimation, or astrodynamics * Experience leading navigation support for maneuver planning and execution, including tracking schedule design and mission design trades. * Expertise across multiple measurement types (radiometric, GPS, optical, angles-only) and in designing measurement configurations.

* Experience integrating navigation into system requirements, CONOPS, and ICDs, and leading navigation verification and reporting. * Demonstrated use of the MONTE astrodynamics toolkit * Leadership of navigation-related IRAD or proposal sections, shaping IRAD concepts and navigation win themes. * Familiarity with cislunar and deep-space navigation challenges, including three-body regimes, timing/clock issues, and tracking network limitations.

* Familiarity with multi-spacecraft mission concepts * Active TS/SCI or prior clearance preferred. Compensation and Benefits * Base Salary Range: $132,000 - $174,900 based on role, experience, and location * Signing bonus * Quarterly performance bonuses * Company-provided health insurance and 401K plan upon eligibility * Flexible time off policy * Relocation assistance Eligibility requirements * This is an IMMEDIATE hiring need. * Applicants must be a U.S.

Person (citizen or Green Card Holder/permanent resident, or protected individual) * Advanced Space values the power of collaboration and in-person interactions. As such, our team enjoys the option of hybrid work with at least three days a week in person.