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Kalman Filtering Inertial Navigation Jobs in New York

慨正橡扯

Lead Engineer

Uniondale, NY · On-site

$120 - $180/hr

... Kalman, Least‑Squares, etc.) and frequency‑domain filtering (Low‑Pass, High‑Pass ... Familiarity with Inertial Navigation algorithms * Familiarity with Estimation and Guidance ...

New

Lockheed Martin

Lead Engineer

Uniondale, NY · On-site

$106K - $140K/yr

... Kalman, Least-Squares, etc.) and frequency-domain filtering (Low-Pass, High-Pass, Band-Pass, Notch ... with Inertial Navigation algorithms - Familiarity with Estimation and Guidance algorithms ...

Lockheed Martin

Lead Engineer

Uniondale, NY · Hybrid

$124K - $199K/yr

... Kalman, Least-Squares, etc.) and frequency-domain filtering (Low-Pass, High-Pass, Band-Pass, Notch ... with Inertial Navigation algorithms - Familiarity with Estimation and Guidance algorithms ...

All JobsKalman Filtering Inertial Navigation JobsKalman Filtering Inertial Navigation Jobs in New York

Kalman Filtering Inertial Navigation information

What are some common challenges faced when implementing Kalman filtering for inertial navigation systems?

One common challenge in this role is managing sensor noise and drift, which can significantly affect the accuracy of inertial navigation solutions. You'll need to carefully tune filter parameters and sometimes integrate additional sensor data (like GPS or magnetometers) to improve robustness. Collaboration with hardware teams is typical, as understanding sensor characteristics is crucial for optimal filter performance. Additionally, real-time processing constraints often require you to optimize algorithms for efficiency without sacrificing accuracy.

What are the key skills and qualifications needed to thrive as a Kalman filtering inertial navigation engineer, and why are they important?

To thrive as a Kalman Filtering Inertial Navigation Engineer, you need a solid background in control systems, signal processing, and estimation theory, generally supported by a degree in electrical engineering, aerospace engineering, or a related field. Proficiency with MATLAB, Python, sensor fusion algorithms, and experience implementing Kalman filters in embedded systems are typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals collaborate across multidisciplinary teams and solve complex problems. These skills and qualifications are vital to ensure accurate navigation solutions and robust system performance in real-world applications.

What is Kalman filtering in inertial navigation?

Kalman Filtering in inertial navigation refers to the use of a mathematical algorithm—the Kalman filter—to estimate the position, velocity, and orientation of a moving object by processing data from inertial sensors such as accelerometers and gyroscopes. The Kalman filter improves the accuracy of navigation by optimally combining sensor measurements and correcting for errors and noise. This technique is essential in applications like aerospace, robotics, and autonomous vehicles, where precise movement tracking is required. By continuously updating estimates as new sensor data arrives, Kalman filtering helps provide reliable and real-time navigation solutions.

What is the difference between Kalman Filtering Inertial Navigation vs INS Algorithm Developer?

AspectKalman Filtering Inertial NavigationINS Algorithm Developer
CredentialsEngineering degrees, knowledge of Kalman filters, navigation systemsEngineering degrees, expertise in navigation algorithms, sensor fusion
Work EnvironmentResearch labs, aerospace, defense, autonomous vehicle developmentSoftware development, simulation, embedded systems in similar industries
Industry UsageDesign and implementation of navigation systems using Kalman filtersDeveloping algorithms for inertial navigation systems, improving accuracy

Kalman Filtering Inertial Navigation focuses on applying Kalman filters to process sensor data for navigation accuracy, while INS Algorithm Developers design and optimize algorithms for inertial navigation systems. Both roles require similar technical skills but differ in their primary focus: one on filtering techniques, the other on algorithm development.

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Kalman Filtering Inertial Navigation jobs near you

Lead Engineer

慨正橡扯

Uniondale, NY • On-site

$120 - $180/hr

Other

PTO

Posted 3 days ago

New

Job description

Who we are

Lockheed Martin is a global leader in aerospace, defense, and technology solutions. Our team is made up of dedicated professionals who are passionate about pushing the boundaries of what's possible.

What We’re Doing

At Lockheed Martin, we're at the forefront of cutting‑edge technology and innovation. Our campus is a hub for engineering excellence, where we tackle some of the world’s most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation.

The Work

At our Lockheed Martin RMS Mitchel Field site on Long Island (NYC metro area), we are seeking a skilled engineer primarily responsible for leading technical efforts and projects for the U.S. Navy’s strategic navigation submarine programs. In this role you will collaborate with cross‑functional teams as you lead technical projects from inception to completion. You will be accountable to engineering management for technical oversight for different functional areas of the navigation subsystem and associated technical efforts.

Why Join Us

Your Health, Your Wealth, Your Life

Joining Lockheed Martin means becoming part of a team that’s making a significant impact in the field of engineering. When you choose to work with us, you’ll enjoy:

  • Our competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.
Basic Qualifications
  • Bachelor’s degree from an accredited college in a related discipline such as Engineering, Computer Science, Mathematics or Physics, in addition to at least 5 years of professional experience
  • Applicable technical experience on model‑based systems engineering (MBSE) projects.
  • Ability to work collaboratively on an Agile team with both local and geographically distributed teammates including subcontractors, technical agents, and customers
  • Excellent demonstrated interpersonal and time management skillsets
  • Must be a U.S. citizen; this position will require a government security clearance
Desired Skills
  • Advanced degree from an accredited college in a related discipline such as Engineering, Computer Science, Mathematics or Physics
  • Experience with MBSE tools
  • Demonstrated ability to lead technical projects and/or development efforts
  • Knowledge of Python, PyTorch, ONNX, and general AI/ML tools and libraries
  • Basic understanding of time‑domain (Kalman, Least‑Squares, etc.) and frequency‑domain filtering (Low‑Pass, High‑Pass, Band‑Pass, Notch, etc.)
  • Proficiency working within both Windows and Unix/Linux environments
  • Proficiency with simulation tools (e.g., Simulink) and scripting languages (Python, MATLAB, C++/C)
  • Familiarity with coding in C and C++
  • Familiarity with Position, Navigation, and Timing with and without GPS
  • Familiarity with Inertial Navigation algorithms
  • Familiarity with Estimation and Guidance algorithms
  • Familiarity with active SONAR systems (Correlation Velocity Log, Doppler Velocity Log, etc.) and underwater platforms
  • Active Secret / Top Secret Security Clearance

Security Clearance Statement: This position requires a government security clearance; you must be a U.S. citizen for consideration.

Clearance Level: Secret

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to Work Remotely: Part‑time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five‑day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time Off benefits.

Schedule for this Position: 9x80 every other Friday off

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5‑30 days of the requisition posting date in order to receive optimal consideration.

Experience Level: Experienced Professional

Business Unit: RMS

Relocation Available: Possible

Career Area: Systems Engineering: System Architecture

Type: Full‑Time

Shift: First

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