Torch Technologies has an exciting opportunity for a Navigation Estimation Engineer educated in state estimation, Kalman Filters and Particle Filters at the beautiful Eglin AFB, FL. This position supports the Air Force Research Laboratory Munitions Directorate, Navigation and Controls Branch (AFRL/RWWN) in its efforts to pioneer research in autonomous, precision-guided air-to-air and air-to-ground munitions.

The selected candidate will be part of a Navigation and Estimation team utilizing highly technical and developmental payloads on-board an Unmanned Aircraft System (UAS) to demonstrate navigation concepts for GPS-denied environments (e.g., Magnetic, Vision, Radio Frequency, etc.) for single or multi-UAV system concepts. The qualified candidate will have knowledge in state estimation for navigation, optimization, computational engineering, algorithm development, Kalman filters, object-oriented programming, and data analysis. Work will assist in the development of Kalman and particle filters for estimation of vehicle state during the integration and development of guidance, control, localization, and navigation systems. This work will be developed and tested in real time simulations and on live-flight surrogate unmanned aircraft vehicles over Eglin AFB’s test ranges.

The selected candidate must have strong oral and written communication skills. The ability to work collaboratively in group development sessions is a must. However, motivation and dedication to project tasks in an independent environment are also necessary. Knowledge of various software and code development sources must be present. The candidate should have experience in one or more of the following programming languages: C/C , python, Java, and others. Experience with Linux operating systems is also desired. The candidate’s daily work affects the design, testing, implementation, operation, and support of the system; or the quality and reliability of services.

Qualified candidates will have experience and understanding in one or more of the following areas:

• GPS/IMU Integrated Navigation Systems
• Extended Kalman Filters (EKF) and Unscented Kalman Filter (UKF)
• Particle filters, including Rao-Blackwellized Implementations
• GPS Denied Navigation
• Knowledge of current programming languages i.e: Python, C/C , Java, etc.
• Estimation theory
• Advanced mathematics relating to object-oriented programming, controls, and linear systems.

• Applicants must be a US citizen and be eligible for a SECRET security clearance. Inability to obtain and maintain a security clearance will result in candidate being ineligible for this position
• Direct working experience with creating and implementing navigation filters
• Familiarity in Object Oriented Programing: C /Python .
• Strong oral and written communication skills, ability to present technical and non-technical topics to event participants (small and medium sized groups)
• Bachelor’s degree in a technically applicable field with 10 years’ experience in state estimation and navigation
• Familiarity with Linux OS.
• A working knowledge of standard office software such as Microsoft word processor, spreadsheet, database, and presentation tools is required.

Preferred:

• Doctorate degree in Computer Science, Engineering, or applicable technical field.
• Comfortable with other people’s code: Reading, Modifying, Debugging, and Optimizing.
• Strong communication skills to convey results effectively in the English language both verbally and in writing is required. Must be able to discuss and understand requirements/taskings in dynamic environment.
• Familiarity with GIT Configuration Management System.
• Ability to work in dynamic environments and support multiple users; good creative problem solver with a commitment to assisting the team in building quality software