Senior Navigation Systems Engineer; Hybrid: Remote

The Contested Autonomy & Navigation Branch of the Leidos Innovations Center provides cutting‑edge navigation for customers who can’t rely on GPS alone. This position offers both analytic and hands‑on tasks including development, simulation, analysis and field testing of navigation algorithms. The team works with DARPA, NASA, Air Force Research Laboratory, Office of Naval Research and Army Combat Capabilities Development Command to bring advanced technologies into the field.

Location:

Huntsville, AL. Telework up to 1 day per week.

• Perform modeling, simulation, and analysis of a navigation system as part of a broader system simulation.
• Conduct simulation trade studies to inform selection of navigation hardware meeting system requirements.
• For developmental flight systems, lead the design of new algorithms and transition existing Leidos algorithms to produce software enabling accurate, real‑time GPS‑denied navigation.
• Use and apply multiple sensor fusion algorithms, including extended Kalman filters, unscented Kalman filters, particle filters, and factor graphs.
• Fuse simulated and real‑world sensor inputs from inertial sensors, GPS, altimeters, cameras, altimeters, and other aiding sensors.
• Work within a team of engineers across disciplines to design innovative navigation systems that are often constrained by conflicting factors, including accuracy, operating environment and cost.
• Travel individually and with a team to coordinate with teammates and customers across a large program; travel will typically last no more than a week at a time.
• Present techniques, solutions and results to the team and to customers.

• Bachelor’s degree in an advanced technical field (electrical engineering, software engineering, aerospace engineering, mechanical engineering or equivalent) and 8+ years of prior relevant experience, or Master’s degree with 6+ years of prior relevant experience.
• 3+ years of relevant experience with one or more sensor fusion algorithms: extended Kalman filters, unscented Kalman filters, particle filters or factor graphs.
• Experience working with Inertial Measurement Units (IMUs) in the context of a multi‑sensor navigation system.
• Good working knowledge of navigation architectures as part of a flight system involving closed‑loop Guidance, Navigation and Control software.
• Demonstrated ability to contribute to dynamic simulations in MATLAB or similar environment.
• Demonstrated interpersonal skills, including ability to work within an Integrated Product Team (IPT) and externally with other subsystem teams.
• Ability to clearly articulate technical information, often to non-technical customers.
• Must be a U.S. Citizen with existing security clearance (Secret or above).

• Ph.D. degree in one of the majors listed above.
• Familiarity with alternative navigation technologies to improve navigation performance in GPS‑degraded environments.
• Experience deploying navigation algorithms to real‑time applications.
• Experience with Linux, C++ and/or Python.
• Experience with version control tools, especially Git or Subversion.
• Experience conducting business in a high OPSEC environment, including modeling, simulation, and software development.
• Experience with specifying, testing and/or qualifying sensor hardware.
• Working knowledge of computer vision techniques.
• Eligibility for upgrade to Top Secret clearance.

$ - $

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.