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

- **Company:** Southwest Research Institute
- **Location:** Warner Robins, GA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Boolean Algebra, Computer Engineering, Software Debugging, Field-Programmable Gate Array (FPGA), Hardware Description Language, Machine Learning, Signal Processing, Verilog, VHSIC Hardware Description Language (VHDL), Graph Neural Networks, Deep Learning, Information Technology, Maintaining Code, Recurrent Neural Networks
- **Published:** November 5, 2026
- **Apply:** https://jobs.diversity.com/career/2554725/student-analyst-student-engineer-embedded-system-fpga-ai-ml-implementation-warner-robins-ga-georgia-ga-warner-robins

## About the Role

* 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.

## Description

* 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.