General Dynamics Information Technology
AI/ML Engineer (Tactical Networks - CANES) | Active Secret clearance
General Dynamics Information Technology, San Diego, California, United States, 92189
AI/ML Engineer (Tactical Networks - CANES) | Active Secret clearance
Transform data into decisive advantage as an
AI/ML Engineer
with GDIT. This role focuses on building mission-grade analytics and automation to harden and optimize Navy tactical networks, advancing CANES and related platforms with NIWC Pacific (Codes 55131/55132/55133) in support of PMW-160 Tactical Networks. At GDIT, people are our differentiator. This role requires designing, deploying, and sustaining models at the edge in virtualized, bandwidth-constrained, and intermittently connected environments while meeting rigorous cybersecurity and programmatic standards. WHAT YOU’LL DO / RESPONSIBILITIES
Design and implement ML solutions for network assurance and cyber defense: anomaly detection, fault prediction, QoS optimization, capacity planning, and automated triage across ashore/afloat/subsurface/airborne domains. Build secure data pipelines (ETL/ELT) from CANES telemetry, logs, and performance counters; develop features for time-series, graph, and NLP use cases; enforce data governance and labeling quality. Operationalize models with MLOps: containerize (Docker), orchestrate (Kubernetes/Openshift), version (MLflow/DVC), and automate CI/CD (GitLab/Jenkins) for model build/test/deploy in disconnected and low-bandwidth scenarios. Optimize for edge inference using ONNX/TensorRT and CPU/GPU acceleration; implement drift monitoring, retraining triggers, and model explainability for operator trust. Integrate analytics with enterprise tooling (REST/gRPC services, message buses, dashboards such as Grafana/Splunk) and with program configuration management (CMPro) and issue workflows (Jira/Confluence). Align solutions to RMF and DISA STIGs; produce artifacts (e.g., security design, data flows, test plans) supporting IATT/ATO packages in eMASS, coordinating with IA teams. Support Developmental Test & Evaluation (DT&E), Test Readiness Reviews (TRRs), and lab events in NIWC Pacific facilities; collect test data, analyze results, and author technical reports/white papers. Mentor engineers and analysts on ML best practices; contribute to Systems Engineering Plans (SEPs) and DoDAF views related to data/analytics services. WHAT YOU’LL NEED TO SUCCEED (REQUIRED)
Security Clearance: Active Secret clearance. Experience: 2+ years applying AI/ML to large-scale or mission systems (time-series/graph/NLP), including production deployments and lifecycle sustainment. 2+ years MLOps (containerization, orchestration, CI/CD, model/version management, monitoring) and secure software practices. Hands-on data engineering with SQL/NoSQL, stream processing (e.g., Kafka), and Python-based ML stacks (PyTorch or TensorFlow, scikit-learn, pandas). Demonstrated delivery in constrained/edge environments (performance tuning, model compression/quantization, resilience to disconnection). Familiarity with DoD cybersecurity processes (RMF, STIGs) and documentation practices. Education: BS in Computer Science, Electrical/Computer Engineering, Data Science, Applied Mathematics, or related field (equivalent experience may substitute per policy). Position Availability: Position is currently pending final contract award. Work Location: Onsite San Diego, CA (NIWC Pacific); ~10–25% CONUS/OCONUS travel per tasking. US Citizenship Required WHAT WE’D LOVE FOR YOU TO HAVE (DESIRED)
Prior support to PMW-160/NIWC Pacific or CANES-like programs; understanding of Navy network operations, GPON, QoS, and transport/optical basics. Certifications: Security+ CE (or higher baseline if privileged access), CKA/CKAD, AWS/Azure/GCP ML Specialty, Splunk Core/Enterprise. Experience with graph ML (PyG/NetworkX), time-series platforms (Kats, Prophet), and XAI (SHAP/LIME). Integration with observability stacks (Prometheus/Grafana), IaC (Ansible/Terraform), and secure SBOM/supply-chain controls. Participation in CCRI prep, DT/OT data analysis, and performance test harness development. GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $108,979 - $147,443. This is not a guarantee of compensation; salary will be set based on experience, location, and contractual requirements. Scheduled Weekly Hours:
40 Travel Required:
10-25% Telecommuting Options:
Hybrid Work Location:
USA CA San Diego Total Rewards At GDIT:
Our benefits package includes medical and other options, 401(k) with match, paid time off, and more. See company materials for details. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Referrals increase your chances of interviewing at General Dynamics Information Technology.
#J-18808-Ljbffr
Transform data into decisive advantage as an
AI/ML Engineer
with GDIT. This role focuses on building mission-grade analytics and automation to harden and optimize Navy tactical networks, advancing CANES and related platforms with NIWC Pacific (Codes 55131/55132/55133) in support of PMW-160 Tactical Networks. At GDIT, people are our differentiator. This role requires designing, deploying, and sustaining models at the edge in virtualized, bandwidth-constrained, and intermittently connected environments while meeting rigorous cybersecurity and programmatic standards. WHAT YOU’LL DO / RESPONSIBILITIES
Design and implement ML solutions for network assurance and cyber defense: anomaly detection, fault prediction, QoS optimization, capacity planning, and automated triage across ashore/afloat/subsurface/airborne domains. Build secure data pipelines (ETL/ELT) from CANES telemetry, logs, and performance counters; develop features for time-series, graph, and NLP use cases; enforce data governance and labeling quality. Operationalize models with MLOps: containerize (Docker), orchestrate (Kubernetes/Openshift), version (MLflow/DVC), and automate CI/CD (GitLab/Jenkins) for model build/test/deploy in disconnected and low-bandwidth scenarios. Optimize for edge inference using ONNX/TensorRT and CPU/GPU acceleration; implement drift monitoring, retraining triggers, and model explainability for operator trust. Integrate analytics with enterprise tooling (REST/gRPC services, message buses, dashboards such as Grafana/Splunk) and with program configuration management (CMPro) and issue workflows (Jira/Confluence). Align solutions to RMF and DISA STIGs; produce artifacts (e.g., security design, data flows, test plans) supporting IATT/ATO packages in eMASS, coordinating with IA teams. Support Developmental Test & Evaluation (DT&E), Test Readiness Reviews (TRRs), and lab events in NIWC Pacific facilities; collect test data, analyze results, and author technical reports/white papers. Mentor engineers and analysts on ML best practices; contribute to Systems Engineering Plans (SEPs) and DoDAF views related to data/analytics services. WHAT YOU’LL NEED TO SUCCEED (REQUIRED)
Security Clearance: Active Secret clearance. Experience: 2+ years applying AI/ML to large-scale or mission systems (time-series/graph/NLP), including production deployments and lifecycle sustainment. 2+ years MLOps (containerization, orchestration, CI/CD, model/version management, monitoring) and secure software practices. Hands-on data engineering with SQL/NoSQL, stream processing (e.g., Kafka), and Python-based ML stacks (PyTorch or TensorFlow, scikit-learn, pandas). Demonstrated delivery in constrained/edge environments (performance tuning, model compression/quantization, resilience to disconnection). Familiarity with DoD cybersecurity processes (RMF, STIGs) and documentation practices. Education: BS in Computer Science, Electrical/Computer Engineering, Data Science, Applied Mathematics, or related field (equivalent experience may substitute per policy). Position Availability: Position is currently pending final contract award. Work Location: Onsite San Diego, CA (NIWC Pacific); ~10–25% CONUS/OCONUS travel per tasking. US Citizenship Required WHAT WE’D LOVE FOR YOU TO HAVE (DESIRED)
Prior support to PMW-160/NIWC Pacific or CANES-like programs; understanding of Navy network operations, GPON, QoS, and transport/optical basics. Certifications: Security+ CE (or higher baseline if privileged access), CKA/CKAD, AWS/Azure/GCP ML Specialty, Splunk Core/Enterprise. Experience with graph ML (PyG/NetworkX), time-series platforms (Kats, Prophet), and XAI (SHAP/LIME). Integration with observability stacks (Prometheus/Grafana), IaC (Ansible/Terraform), and secure SBOM/supply-chain controls. Participation in CCRI prep, DT/OT data analysis, and performance test harness development. GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $108,979 - $147,443. This is not a guarantee of compensation; salary will be set based on experience, location, and contractual requirements. Scheduled Weekly Hours:
40 Travel Required:
10-25% Telecommuting Options:
Hybrid Work Location:
USA CA San Diego Total Rewards At GDIT:
Our benefits package includes medical and other options, 401(k) with match, paid time off, and more. See company materials for details. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Referrals increase your chances of interviewing at General Dynamics Information Technology.
#J-18808-Ljbffr