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

• 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.

• 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.

Special Requirements:

Work assignment is in Warner Robins, Georgia. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.

The Advanced EW Department specializes in innovating the next generation of Electronic Warfare capabilities to benefit the USA and our allies.