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Kalman Filter Estimation Jobs (NOW HIRING)

Research data fusion and estimation frameworks for sensor networks, i.e. Kalman filter approaches * Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data ...

Develop, simulate, and tune control algorithms for position, velocity, torque, and force control, incorporating model-based techniques and Kalman filter-based state estimation * Lead sensor fusion ...

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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 9, 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.
More about Kalman Filter Estimation jobs
What cities are hiring for Kalman Filter Estimation jobs? Cities with the most Kalman Filter Estimation job openings:
What states have the most Kalman Filter Estimation jobs? States with the most job openings for Kalman Filter Estimation jobs include:
Infographic showing various Kalman Filter Estimation job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, and 15% Part Time. 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.
Signal Processing Engineer

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

POSITION SPECIFICS

We are looking for a highly motivated Signal Processing Engineer to join the Advanced Phenomenology Department at the Applied Research Laboratory (ARL) at Penn State University. You will assist our research efforts to develop novel sensing and estimation strategies that facilitate data-driven decision support. Under the mentorship of our R&D staff, you will utilize state-of-the-art tools in machine vision, UxV autonomy, and data processing. Your work will support a unique problem area that have applications in defense, manufacturing, law enforcement, security, and disaster relief. Our highly collaborative team is comprised of adaptable, curious, creative, lateral thinkers with both traditional and non-traditional backgrounds and multidisciplinary points-of-view. We offer opportunities to grow, explore, and experience multiple roles, and we encourage team members to pursue higher degrees and certifications in their field of study.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

  • Support the research and testing of novel collection methods and strategies using multiple networked asset and evaluate signal processing strategies and UxV autonomy in sea, ground, air and space environments
  • Develop data architectures and pipelines for test and evaluation, document findings and recommend system modifications where needed
  • Research data fusion and estimation frameworks for sensor networks, i.e. Kalman filter approaches
  • Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data processing workflows and implementations
  • Collaborate with computer vision algorithm developers and data scientists to support the integration of machine learning algorithms
  • Derive physics-based and mathematical models where appropriate for validation and verification
  • Apply scientific method and best practices across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation
  • Grow career and capabilities, plan and conduct applied research, provide technical guidance and oversight, contribute to large research efforts, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques
  • Engage in research efforts ranging from proof-of-concept through integrated production

Required skills/experience areas include:

  • Technical skills and training in a field directly applicable or highly related to Computer Science, Applied Mathematics, Engineering, or Geospatial Sciences
  • Interest in the design and development of data fusion and estimation frameworks using heterogenous sensor network configurations
  • Computer programming in one or more of the following: Python, C++, MATLAB, Java
  • Exposure to spatio-temporal data fusion, applicable database architectures and machine learning applications

Preferred skills/experience areas include:

  • Willingness to work within DoD/IC Analysis or Operational environments
  • Willingness and ability to obtain a government security clearance

Your working location will be on-site in State College, PA. Questions related to flexible work should be directed to the hiring manager during the interview process.

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

If filled as Research and Development Engineer - Intermediate Professional, this position requires: Bachelor's Degree - Engineering or Science 2+ years of relevant experience Required Certifications: None If filled as Research and Development Engineer - Professional, this position requires: Bachelor's Degree - Engineering or Science No prior relevant work experience required Required Certifications: None

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).FOR FURTHER INFORMATION on ARL, visit our website atwww.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $76,700.00 - $129,500.00.**THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL**

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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