Avionics Hardware Engineering Support

Overview

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Position Summary

Credence has an immediate opening for an Avionics Hardware Engineering Support at the senior level who will be primarily responsible for supporting the Air Force Life Cycle Management Center WAM (AFLCMC/WAM) directorate, F-16 division at Wright Patterson AFB, OH.

F-16 “Viper” AFLCMC/WAM is headquartered at Hill Air Force Base with units located at Wright-Patterson Air Force Base, Tyndall Air Force Base, Eglin Air Force Base, and Davis-Monthan Air Force Base.  The F-16 “Viper” is a multi-role fighter jet delivering air-to-air, air-to-ground, and surveillance capabilities for the United States Air Force (USAF) and Coalition Partners.

The F-16 program has the largest Foreign Military Sales (FMS) program in U.S. history producing over 4,500 jets for 24 countries.  Each F-16 FMS case is uniquely tailored to country requirements / development / funding.  Presently, FMS production orders exist through 2030. Additionally, the F-16 program includes the Multi-National Fighter Program (MNFP). MNFP is not a typical FMS program, but a unique, cooperative USAF and development program implemented through the FMS process under the framework of a Memorandum of Understanding (MOU). MNFP began in 1975 with the countries of Belgium, Denmark, the Netherlands, and Norway; Portugal joined in 200.

Responsibilities include, but are not limited to the duties listed below:

• Support System Design and Development by researching, designing, developing, and testing computer systems and their components.
• Support next-Generation mission computer procurement and integration, including recommending best practices for implementing new software and hardware solutions and applying a thorough understanding of industry computer, firmware, memory, CPU, GPU, and middleware solutions.
• Integrate Open Systems Architecture (OSA) standards for hardware solutions, coordinate with software developers, and facilitate airworthiness approvals.
• Support Software Engineering by designing, developing, and modifying software systems using scientific analysis and mathematical models to predict and measure outcomes.