Description
Unleash Your Potential!
Serve as a Maritime Navigation Engineer for the Leidos Innovation Center (LInC) in Huntsville, AL. Our team's mission is to: (1) develop and demonstrate new alternative navigation technologies to meet urgent military operational needs to operate in GPS-challenged environments, and (2) rapidly transition this technology to operational platforms to outpace the adversary threats currently being faced in the field. Project involve small teams of engineers working together in spiral or agile development environments to meet aggressive customer schedules aimed at near-term field demonstrations of emerging capabilities. Our core competencies include sensor fusion, computer vision, HW/SW integration, computer vision aided navigation, geophysical aided navigation, and machine learning. Typical customers include Defense Advanced Research Projects Agency (DARPA), Office of Naval Research (ONR), and Naval Information Warfare Center (NIWC).
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Primary Responsibilities
- Develop, analyze and integrate advanced geophysical navigation techniques, including feature matching using terrain, magnetics, gravity and more
- Research, develop, test and integrate advanced algorithms (particle filters, Kalman filters) to merge multiple navigation sensors (inertial, magnetic, acoustic, RF and optical) to achieve accurate and autonomous vehicle navigation
- Develop and utilize simulation testbeds to support algorithm testing and assessment
- Experiment and test your advanced technology in our lab and on our test vehicles
- Travel with your team to prove your technology to the customer on a variety of platforms, including ground vehicles, surface boats, underwater vehicles and naval ships. Testing typically lasts for 1-2 weeks.
Basic Qualifications
- Bachelor's Degree in advanced technical field (Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Computer Engineering or equivalent) with 4+ years of experience or Master's Degree in above technical disciplines with 2+ years of experience
- Programming experience with Matlab, Python, and/or C/C++
- Understanding of inertial navigation fundamentals, including strapdown processing, stochastic sensor error models, and system error propagation
- Demonstrated experience in modeling and simulation techniques and covariance analysis for predicting system performance
- Demonstrated experience in navigation sensor technologies and optimal estimation techniques
- US Citizen and have the ability to obtain and maintain a Secret security clearance
Preferred Qualifications
- Ph.D. in technical field (Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Computer Engineering or equivalent) with experience performing navigation development work.
- Experience applying sensor fusion/estimation algorithms (e.g. Kalman Filters, Particles Filters, or Factor Graphs) to maritime surface and underwater platforms
- Expertise with geophysical map matching algorithms including calibration and correlation techniques
- Hands-on experience working with various maritime sensor types (Inertial Measurement Units, GPS, magnetometers, Doppler Velocity Logs, acoustic, sonar, etc.)
- Experience with signal processing and or acoustics
- Experience designing and developing software running in the Linux operating environment
- Experience using version control tools (GIT, Subversion, etc).
- Previous experience supporting at-sea field test operations
- Currently cleared at Secret-level or above
LInC
Original Posting Date:
2025-02-13
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $85,150.00 - $153,925.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.