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Analog Devices

Principal Navigation Systems Architect (PN&T)

Reposted Yesterday
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In-Office
Wilmington, MA
174K-261K Annually
Expert/Leader
In-Office
Wilmington, MA
174K-261K Annually
Expert/Leader
Lead the design and development of advanced navigation systems, focusing on PNT solutions and algorithm validation in various operational environments.
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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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (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: Experienced

          

Required Travel: Yes, 25% of the time

          

Shift Type: 1st Shift/DaysSecurity Clearance required: Yes

The expected wage range for a new hire into this position is $174,000 to $261,000.
  • 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.

Top Skills

C/C++
Gnss
Inertial Sensors
Kalman Filters
Matlab
Python
Ros
Sensor Fusion
Timing Systems

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