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Kalman Filter Jobs Jobs (NOW HIRING)

Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of various partner approaches * Perform trade studies to assess navigation performance under dispersed model ...

HLS Navigation Aerospace Engineer

Huntsville, AL · On-site

$90K - $110K/yr

Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of various partner approaches * Perform trade studies to assess navigation performance under dispersed model ...

Senior GNC Engineer

Seattle, WA

$119K - $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 ...

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 ...

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Kalman Filter Jobs information

See salary details

$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.
HLS Navigation Aerospace Engineer

HLS Navigation Aerospace Engineer

Pae

Huntsville, AL

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 hours ago


Job description

Create Your Career:

Grow With Us

Your growth matters to us-that's why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like Team Lead Academy, education reimbursement, mentoring, and company sponsored networking events, you can take control of your own career path on your own terms with a company that believes in you.

A Place Where You Belong

People are at theheart of our business. We reflect a diversity of cultures, backgrounds, and experiences. We expect our people, clients, and partners to treat one another with dignity and respect.

Support Your Well-Being

Our comprehensive benefits package includes wellness programs, paid holidays, paid time off, employee perks and much more. With these benefits, plus the option for flexible schedules, we'll support you as you pursue a balanced, fulfilling life-at work and at home.

Our team is comprised of 10 companies working together on one mission, Moon to Mars and then beyond.

The HLS Navigation Aerospace Engineer models the navigation systems of the Human Lander System (HLS) for NASA's HLS program. From sensor fusion and sensor model development to descent dynamics and visualization, this position will require a well-rounded background of navigation skills, experience with computer programming, and the desire to perform high fidelity analyses to ensure successful navigation and landing of the HLS systems.

Description

The Amentum Space Exploration Division (ASED) Guidance, Navigation, and Control (GN&C) team is a high performing group executing challenging tasks to design and integrate GN&C systems for NASA projects ranging from NASA's Space Launch System(SLS) to NASA's Human Lander System. We are searching for highly qualified candidates to support NASA's Flight Dynamics Team in the Guidance, Navigation, & Mission Analysis branch at NASA's Marshall Space Flight Center. This exciting work will serve as a critical step in sending humans back to the Moon, Mars and beyond!

ASED offers a partnership in which you can grow personally and professionally within a framework of strong leadership, competitive compensation, and rewarding career paths. Come join our team!

Job Functions:

  • Participate in the insight/oversight effort of the MSFC HLS GNC group with regards to all aspects of the navigation system

  • Assist with Modeling and Simulation efforts to analyze the landing performance of HLS descent trajectories to the surface of the Moon

  • Lead efforts to integrate all relevant models into a MATLAB/Simulink 6-DoF simulation, including Terrain Relative Navigation (TRN), Inertial Measurement Units (IMUs), Radar, Lidar, and Camera sensor models

  • Tune, modify, and enhance Kalman Filter sensor fusion capabilities and assess limitations of various partner approaches

  • Perform trade studies to assess navigation performance under dispersed model parameters to assess uncertainty, and evaluate navigation margins for government Design Reference Missions and government partners

  • Assess partner test data and partner sensors and models

  • Communicate directly with partners about the risks of their design and provide constructive feedback on possible improvements

  • Tasking may also include use or development of visualization tools of landing sites to aid navigation analysis.

  • Execute/modify existing software/scripts in Python, Matlab, Fortran, C++

Provide demonstrated (minimum of 4 years) expertise to support the Human Landing Systems (HLS) program navigation team as part of the Guidance Navigation and Control (GNC) discipline. Specifically, this task will entail deep technical analysis as part of a team of navigation engineers helping model HLS descent trajectories to the surface of the Moon. Programming skills and mentoring abilities are highly desired.

Qualifications

A degree in Aerospace Engineering, Mechanical Engineering, Physics or related field from an ABET accredited institution is required. Typical experience requirements are the equivalent of a PhD with at least 14 years of experience, a Masters with at least 18 years of experience, or BS with at least 20 years of experience.

To be successful in this position, the applicant must be detail oriented, work independently and collaboratively, possess strong communication and interpersonal skills, and will typically possess some of the following skills:

  • Extensive navigation experience

  • Modeling and Simulation Integration experience

  • Radar and LIDAR experience

  • Terrain Relative Navigation experience

  • Dynamically model descent systems

  • Design of Experiments experience

  • Python, Fortran, C++ programming experience

  • Familiarity with Linux, Bash, and the use of computational clusters/servers

  • Support the design, integration, and analysis of GN&C products.

  • Configure, conduct, and analyze 6-DOF Monte Carlo simulations.

The candidate is REQUIRED to have the following skills and experiences:

  • Matlab & Simulink experience

  • Sensor fusion and Kalman Filtering experience relating to either onboard strap-on navigation (e.g. IMU, Radar/Lidar, TRN) OR deep space navigation (e.g. ground tracking orbit determination)

  • US Citizenship and STAR ID is required

  • Duties

    Day to day activities include:

    • Participation in the HLS navigation team's modeling and simulation of HLS descent, including simulation integration, visualization, analysis, and trade studies

    • Interfacing with commercial HLS partners and other NASA centers

    • Debriefs to HLS partners and HLS Chief Engineers

    • Dynamic modeling descent trajectory of HLS

    • Creating, editing and debugging software written in Matlab/Simulink, Python, Fortran, and C/C++.

    • Optimization and improvement of analysis tools and GN&C models.

    • Working with GN&C leads and other engineering disciplines.

    • Supporting the verification and validation of technical products.

    • Creation and review of engineering and software documentation.

    • Preparing and presenting technical reports and briefings.

Essential Functions

Work Environment:

Office environment. Requires ability to provide clear, concise, accurate and timely communication, both verbally and in writing (100%). Requires ability to interact professionally with co-workers, management, and client (100%). Requires travel in the domestic USA (5%). Requires ability to work at a computer for long periods of time (100%).

Physical Requirements:

Requires sitting for extended periods of time in meetings with peers, management, and with our client at NASA facilities to discuss technical issues (10%). Also, requires sitting for extended periods of time at a desk to write reports and perform engineering tasks (80%). Requires ability to use stairs or elevators for access between floors and multiple buildings at NASA and our facilities (10%).

Equipment and Machines:

Requires ability to operate a personal computer, a telephone, fax machine, copier, calculator, and other general office equipment (100%).

Attendance:

Normal workday 7:30-4:30, Monday thru Friday. Minimal overtime may be required (10%) to meet schedule milestones and to support technical demands of the job. Regular attendance is a necessity, and adequate arrangements for delegating duties during absences are required.

Other Essential Functions:

The ability to work independently with minimal supervision, and to make rational decisions, and to exercise good judgment is essential (100%). Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others.

Proof of U.S. Citizenship is required.

#ESSCA #ASED

Compensation Details:

SME1-3

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

04/16/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language atLabor Laws Posters.