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Kalman Filtering Inertial Navigation Jobs in New York

Lead Engineer

Uniondale, NY · On-site

$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 ...

Lead Engineer

Uniondale, NY · On-site

$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 ...

... 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 ...

... 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 ...

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 ...

Kalman Filtering Inertial Navigation information

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 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 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.

What are popular job titles related to Kalman Filtering Inertial Navigation jobs in New York?

For Kalman Filtering Inertial Navigation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Kalman Filtering Inertial Navigation jobs in New York look for?

The top searched job categories for Kalman Filtering Inertial Navigation jobs in New York are:

What cities in New York are hiring for Kalman Filtering Inertial Navigation jobs?

Cities in New York with the most Kalman Filtering Inertial Navigation job openings:

Principal Navigation Systems Architect (PN&T)

Analogdevices

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Analog Devices rating

8.7

Company rating: 8.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.comand on LinkedIn and X.

We are seeking a highly skilled Navigation & PNT (Positioning, Navigation, and Timing) Expert to lead the design, development, integration, and validation of advanced navigation systems. Utilizing ADI's extensive RF portfolio and expertise in software defined radio's, MEMS Inertial(s) and AI, this role will develop and lead the strategy and executions to "move-up-the-stack" to a complete navigation solution for defense, commercial and space applications. The ideal candidate will be a strategic thinker with deep expertise in GNSS, inertial sensors, sensor fusion, timing systems, and navigation algorithm development, with a strong ability to translate system needs into reliable real-world solutions bringing a proven ability to execute a plan with urgency. The selected candidate can work remotely out of a home office.

Key Responsibilities

  • Design and develop PNT solutions, including GNSS-based systems, inertial navigation, vision-based navigation, and multi-sensor fusion architectures.
  • Analyze and improve positioning, navigation, and timing performance under diverse operational environments (e.g., GNSS-denied, urban canyon, RF-challenged).
  • Develop, tune, and validate navigation algorithms, including Kalman filters, tightly/loosely coupled fusion, integrity monitoring, and error-state modeling.
  • Model and simulate PNT systems to predict performance, assess sensor trade-offs, and support system design decisions.
  • Conduct GNSS signal analysis, including interference, spoofing detection, multipath characterization, and resilience enhancement.
  • Lead integration and testing in laboratory and field environments using representative sensors and platforms.
  • Support system architecture development, providing expert input on PNT requirements, interfaces, and performance budgets.
  • Collaborate with cross-functional teams, including hardware, software, autonomy, guidance & control, and systems engineering.
  • Document and communicate findings, presenting test results, performance analyses, and recommendations to technical and non-technical stakeholders.

Required Qualifications

  • Bachelor's, Master's, or PhD in Electrical Engineering, Aerospace Engineering, Robotics, Computer Science, Physics, or a related field.
  • 10+ years of experience in PNT, navigation systems, or related domains.
  • Strong understanding of:
    • GNSS (GPS, Galileo, GLONASS, BeiDou) and augmentation systems (SBAS, RTK, PPP)
    • Inertial sensors (IMUs), magnetometers, barometers, wheel odometry, etc.
    • Navigation and sensor-fusion algorithms (EKF/UKF, error-state filtering, SLAM)
    • Timing systems (oscillators, synchronization, clock modeling)
  • Proficiency with simulation and analysis tools (e.g., MATLAB, Python, C/C++, ROS).
  • Experience with real-world data collection, calibration, and system testing.
  • Strong problem-solving ability and communication skills.
  • US Citizenship required

Preferred Qualifications

  • Experience with GNSS-denied navigation (vision, lidar, RF, UWB, pseudolites).
  • Experience with autonomous vehicles, aerospace, robotics, defense, or maritime navigation.
  • Knowledge of signal processing, RF systems, or GNSS receiver internals.
  • Familiarity with certification or compliance standards (e.g., DO-229, DO-253, RCTA/DO-178, ISO 26262).
  • Experience developing resilient PNT systems, including anti-jamming and anti-spoofing techniques.

#LI-PG1

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: Yes, 25% of the timeShift Type: 1st Shift/DaysSecurity Clearance required: YesThe expected wage range for a new hire into this position is $184,030 to $266,485.
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors

  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

  • Benefits for the position includes 10 paid holidays per year, paid vacation starting at 136 hours per year for full-time employees (prorated for part-time employees), and paid sick time that exceeds the requirements of the Washington State Sick Leave law.


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About Analog Devices

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Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US