ZipRecruiter

Log In

1

Kalman Filter Estimation Jobs in Arizona (NOW HIRING)

All JobsKalman Filter Estimation JobsKalman Filter Estimation Jobs in Arizona

Kalman Filter Estimation information

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.

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 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 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 popular job titles related to Kalman Filter Estimation jobs in Arizona?

For Kalman Filter Estimation jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Kalman Filter Estimation jobs in Arizona look for?

The top searched job categories for Kalman Filter Estimation jobs in Arizona are:

What cities in Arizona are hiring for Kalman Filter Estimation jobs?

Cities in Arizona with the most Kalman Filter Estimation job openings:

Kalman Filter Estimation jobs near you
Infographic showing various Kalman Filter Estimation job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution.

Engineer - Guidance and Navigation Control

PROLIM Global Corporation

Chandler, AZ • On-site

$80 - $95/hr

Full-time

Medical

Re-posted 11 days ago

Job description

PROLIM (www.prolim.com) is currently seeking Engineer Guidance Navigation Control for one of our top Client for Location: Chandler, AZ (100% Onsite)
Qualified candidates can directly send your updated resume and contact info via email: sameer.mithaigar@prolim.com
Job description:
PROLIM is currently seeking an Engineer Guidance Navigation Control for one of our top clients - Northrop Grumman Corporation, located in Chandler, Arizona.
This is an exciting opportunity to work on advanced aerospace programs involving aircraft, spacecraft, missiles, and launch vehicles. As a GNC Engineer, you will contribute to the design, development, testing, and evaluation of guidance, navigation, and control systems that support mission-critical aerospace applications.
Job Details
  • Position: Engineer Guidance Navigation Control
  • Company: Northrop Grumman Corporation
  • Location: Chandler, AZ 85286
  • Work Setting: 100% Onsite
  • Job Type: Contract
  • Pay Rate: $80 - $95/hr on W2
  • Schedule: 40 Hours/Week (9/80 Schedule - Every Other Friday Off)
  • Experience: 2-5 Years
  • Security Clearance: Active Secret or Top Secret Clearance Required
  • Citizenship: U.S. Citizen Required

Key Responsibilities
  • Design, develop, implement, verify, and test high-quality software and simulation toolchains.
  • Develop and maintain 6 Degree of Freedom (6DOF) simulations for flight software testing and validation.
  • Support the design and testing of flight control software.
  • Optimize flight software and simulation performance.
  • Utilize trajectory optimization tools and software.
  • Analyze guidance, navigation, and control system performance.
  • Collaborate with multidisciplinary engineering teams to ensure mission success.
  • Support integration, verification, and validation activities.

Required Qualifications
  • Bachelor's Degree in Engineering or related discipline with 2+ years of professional experience; OR Master's Degree in Engineering or related discipline.
  • Active U.S. Government Secret or Top Secret Security Clearance.
  • Experience with:
  • C++
  • Python
  • Linux Environment
  • MATLAB
  • Strong analytical and problem-solving skills.

Preferred Qualifications
  • Master's or PhD in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or related field.
  • Knowledge of:
  • Control Systems Theory
  • Guidance Law Design
  • State Estimation Techniques
  • Flight Dynamics and Simulation
  • Experience using Jira in Agile development environments.
  • Technical Skills
  • Must Have
  • C++
  • Python
  • Linux
  • MATLAB
  • Nice to Have
  • 6DOF Simulations
  • Aerodynamic Modeling
  • Guidance Systems
  • Extended Kalman Filter (EKF)
  • State Estimation
  • Rigid Body Dynamics
  • LQR
  • PID Control
  • Monte Carlo Analysis
  • Agile Methodologies
  • Jira

Why Join?
  • Work on cutting-edge aerospace and defense technologies.
  • Contribute to mission-critical national security programs.
  • Competitive hourly compensation.
  • Collaborative engineering environment.
  • Every other Friday off with a 9/80 work schedule.

How to Apply
Qualified candidates can send their updated resume and contact information to: Sameer.mithaigar@prolim.com
Benefits:
  • Health insurance

Work Location: In person

Apply