RESEARCH COMPUTER SCIENTIST - RESEARCH ENGINEER - Artificial Intelligence / Machine Learning - Warner Robins, GA

Southwest Research Institute; Warner Robins (GA); On-site; USD 110,000 - 170,000; Full time

Job summary

Southwest Research Institute in Warner Robins, GA seeks a Research Computer Scientist/Engineer specializing in AI/ML for electronic warfare. You will architect neural networks for real-time RF signal classification and EW countermeasures, and lead data generation pipelines for training and testing mission-critical algorithms.

Responsibilities include benchmarking ML frameworks, communicating technical risks in reviews, and collaborating with systems engineers to containerize models for edge

Qualifications

• Requires a Bachelor's or Master's in Electrical/Computer Engineering, CS, or Data Science with ML and signal processing focus.
• 4–8 years hands-on experience architecting, training, deploying DL models with PyTorch or TensorFlow.
• 3 years experience building end-to-end data pipelines, synthetic data generation, and data quality validation for mission-critical systems.
• 3 years experience in technical communication: evaluation reports, customer design reviews, and cross-disciplinary discussions.
• 1 year applying ML to DSP/RF signals, communications, or electronic warfare domains (e.g., modulation recognition, spectrum sensing).
• Valid driver's license; U.S. citizen; Warner Robins, GA; security clearance eligibility.

Responsibilities

• Design, train, optimize and profile custom deep learning architectures for RF signal characterization and EW countermeasure development.
• Develop, preprocess, and validate multi-sensor RF and EW datasets through synthetic generation tools, HWIL lab collections, and signal processing transformations.
• Benchmark, review, and stress test third-party or client ML architectures; deliver evaluation reports and recommendations.
• Prepare and deliver progress briefings, technical demonstrations, and sprint milestone updates to cross-functional teams and sponsors.
• Collaborate with systems and embedded engineers to containerize models and ensure edge compute compatibility.

Skills

ML architectures

Deep learning

Data pipelines

Technical communication

Edge computing

Education

Bachelors or Masters in EE/CE/CS/Data Science

Tools

PyTorch

TensorFlow

HWIL lab

Job description

RESEARCH COMPUTER SCIENTIST - RESEARCH ENGINEER - Artificial Intelligence / Machine Learning - Warner Robins, GA

16-01563

Who We Are:

The Spectrum Innovation section within the Defense & Intelligence Solutions Division specializes in innovating the next generation of Electronic Warfare to benefit warfighters around the globe.

Objectives of this Role:

• Architect mission-tailored neural network models that address critical electronic warfare challenges, including cognitive EW, real-time RF signal classification, spectrum agility, and automated electronic attack/protection techniques.
• Drive synthetic and measured data generation pipelines to ensure robust, validated, and representative RF and EW datasets are established for training, fine-tuning, and testing mission-critical algorithms.
• Conduct rigorous technical assessments of emerging commercial and academic AI/ML frameworks to advise clients and program leadership on architectural trade-offs, feasibility, and edge deployment viability.
• Serve as a primary technical advisor and liaison in sprint reviews, milestone gates, and customer-facing briefings to clearly communicate technical risks, algorithmic performance metrics, and project status.

Daily and Monthly Responsibilities:

• 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.
• 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.
• Conduct systematic benchmarking, technical reviews, and stress testing of third-party or client-provided ML architectures to deliver comprehensive evaluation reports and recommendations.
• Prepare and deliver progress briefings, technical demonstrations, and sprint milestone updates to cross-functional engineering teams, management, and external customer sponsors.
• Collaborate with systems and embedded software engineers to containerize models and ensure architectural compatibility with modular frameworks and edge compute constraints.

Requirements:

• Requires a Bachelors or a Masters degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science or related technical degree field with research and/or experience focused on machine learning and signal processing.
• 4-8 years: Hands-on experience architecting, training, and deploying deep learning models using modern frameworks such as PyTorch or TensorFlow, with a demonstrated focus on complex or non-traditional data types.
• 3 years: Practical experience building end-to-end data pipelines, including the generation of synthetic data, augmentation of sparse datasets, and formal data quality/labeling validation for mission-critical systems.
• 3 years: Professional experience in technical communication, including authoring formal evaluation reports, presenting at customer design reviews, and leading technical discussions across multidisciplinary teams.
• 1 years: Demonstrated experience applying machine learning techniques to digital signal processing (DSP), radio frequency (RF) signals, communications, or electronic warfare domains (e.g., modulation recognition, spectrum sensing, emitter identification).
• 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.

Job Locations: Warner Robins, Georgia Or Dayton, Ohio

For benefits information at our San Antonio location, .
For benefits information at all other locations, .

An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status.