STUDENT ANALYST - STUDENT ENGINEER - Embedded System & FPGA & AI/ML Implementation - Warner Robins,

Who We Are: The Advanced EW Department specializes in innovating the next generation of Electronic Warfare capabilities to benefit the USA and our allies. Objectives of this Role: Successfully contribute to the design and implementation of FPGA-based solutions for ongoing and upcoming projects. Apply innovative thinking and problem-solving skills to address design challenges and optimize FPGA implementations. Assist in developing comprehensive testbenches and verification environments for FPGA designs. Ensure seamless integration of FPGA designs with other system components, supporting overall project success. Develop and/or test AI/ML algorithms for implementation in embedded systems containing neuromorphic processors or AI-enabled FPGAs. Summer 2027 or year-round student opportunity.

Daily and Monthly Responsibilities: Assist in developing and debugging HDL (Verilog/VHDL) code based on project requirements per design specifications. Assist in developing and running simulations to verify the functionality and performance of FPGA designs. Use testbenches to validate code against expected outputs and performance metrics. Work as part of a team to design, train, optimize, and profile custom deep learning architectures (e.g., CNNs, RNNs/Transformers, graph neural networks, or neuromorphic models) for RF signal characterization and EW countermeasure development.

Work as part of a team to develop, preprocess, and validate multi-sensor RF and EW datasets through synthetic generation tools, hardware-in-the-loop (HWIL) lab collections, and signal processing transformations. Attend design review meetings to present designs and receive feedback. Assist in maintaining detailed documentation of the design process, code changes, and testing procedures.

Requirements: Must be pursuing a Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science or related technical degree field with focus on machine learning and signal processing. 0 years: Preferred coursework in Digital Logic Design, Computer Architecture, Embedded Systems, Signal Processing, or Machine Learning. Must be a current or rising Senior. A valid/clear driver's license is required.