GNC Algorithm Engineer - Electro-Optical Sensors

• Chandler, AZ

Role: GNC Algorithm Engineer
- Electro-Optical Sensors

Duration: 12 months

Location: Chandler, AZ (On-Site)

Terms: W2 Contract

Work Authorization: US Citizen; must be able to obtain/maintain a Secret security clearance

Key

Skills:

GNC algorithms, missile guidance, Kalman Filter, Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), Digital signal analysis, sensor signal processing, Electro-Optical (EO) Imaging Systems , Onboard/offboard sensor fusion, multi-sensor integration, C++, MATLAB, Python, algorithm development, Monte Carlo Simulation & Analysis

Responsibilities:

• Designs, develops, implements, verifies and tests algorithms and software and simulation tools to perform guidance, navigation and control of aircraft, spacecraft, submersibles, surface ships, missiles, launch vehicles and upper stages during powered and coast phases of launch, flight, earth orbit, interplanetary cruise and orbital insertion, as well as during staging events.
• Navigation functions include the statistical processing of measured data points and their substitution into algorithms simulating physical reality.
• Guidance functions include the formulation of specific equations to achieve a desired position, orientation or orbit in space.
• Control design and analyses processes consist of the development of control laws and hardware and software requirements for aircraft, launch vehicles and/or spacecraft.

• Experience with Kalman Filtering.
• Experience with signal processing for guided missiles and/or interceptors.
• Proficiency in creating and maintaining algorithms and analysis tools in C++, MATLAB and Python.
• Strong foundation in probability theory / statistics.
• Experience with Electro-Optical imaging systems.
• Travel 10% of the time.

• Advanced degree in electrical engineering, aerospace engineering, physics, or applied math.
• Experience with onboard/offboard sensor fusion.
• Experience with analyzing large Monte Carlo data sets and/or experience with designing and analyzing simulation experiments.