Current openings at CTI

We are seeking a Machine Learning Engineer (MLOps focus) who will be a key technical contributor in advancing CTI’s artificial intelligence and machine learning capabilities. This role supports United States Special Operations Command (SOCOM) programs and other advanced defense initiatives by ensuring that ML models are not only trained effectively, but also deployed, monitored, and sustained in real-world operational environments, including edge-deployed systems. The successful candidate will be passionate about building and automating ML pipelines, implementing modern MLOps practices, and driving innovation that directly impacts mission outcomes. With hands-on experience taking ML models from concept to production deployment, this engineer will help CTI deliver highly reliable, scalable, and mission-ready ML solutions to the battlefield. Responsibilities include, but are not limited to: Operationalize ML models by building robust pipelines for training, evaluation, deployment, and monitoring across diverse compute environments (cloud, on-prem, and edge). Collaborate with development teams and mission stakeholders to translate requirements into ML systems that can be deployed and sustained in operational settings. Implement CI/CD practices for ML, enabling automated testing, packaging, and deployment of models and data pipelines. Manage ML infrastructure and tooling, including containerization (Docker), orchestration (Kubernetes), and model serving platforms (e.g., Seldon, KServe, BentoML). Develop monitoring and observability systems to track model performance, data drift, and resource utilization, ensuring reliability in mission environments. Contribute to security and compliance in ML pipelines, ensuring model deployments meet defense and customer requirements. Explore and integrate modern MLOps technologies to improve reproducibility, scalability, and maintainability of ML capabilities. Requirements Location: This position is fully onsite and requires work to be performed at MacDill Air Force Base in Tampa, Florida. Remote work is not available for this role. Travel requirements: Willingness and ability to travel up to 25%. Necessary Skills and Experience Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical discipline. Master’s degree preferred. 5+ years of professional experience in software engineering, machine learning, or related fields. Experience with MLOps tools and frameworks (MLflow, Kubeflow, Airflow, DVC, etc.). Proficiency in building and deploying containerized ML services (Docker, Kubernetes). Strong understanding of CI/CD pipelines and DevOps practices applied to ML. Familiarity with deep learning frameworks (PyTorch, TensorFlow) and their deployment requirements. Knowledge of monitoring and logging systems (Prometheus, Grafana, ELK/EFK stacks). Strong software engineering background (Python required; C, Rust, or MATLAB a plus). Active U.S. Government Secret clearance with SCI eligibility (TS/SCI). U.S. Citizenship is required as only U.S. citizens are eligible for a security clearance. Beneficial Skills and Experience Experience in DoD programs and drone (UAS) development. Experience working with diverse data types (RF signals, imagery, video, sensor feeds) is a plus. Experience deploying ML models to edge or constrained environments is highly desirable. Familiarity with secure software deployment in defense environments. Experience with air-gapped registries, offline updates, reproducible builds, and SBOM attestation in CI. Experience with Explainable AI/ML.

We are seeking a Modeling and Simulation Analyst who will be a key technical contributor supporting United States Special Operations Command programs and other advanced defense initiatives. This role involves working with a team of analysts and engineers to design, develop, and execute modeling and simulation (M&S) activities, providing critical insights into DoD capabilities, systems, and operational concepts. The successful candidate will be passionate about building analytical frameworks, conducting experimentation, and applying model-based systems engineering (MBSE) approaches to deliver mission-ready solutions that directly impact the warfighter. Responsibilities include, but are not limited to: Collaborate with cross-functional teams of analysts and engineers in the research, development, modeling, experimentation, and analysis of DoD systems and capabilities. Develop, validate, and employ analytical methods and simulations to facilitate system and mission-level analysis. Apply MBSE processes and tools to support the design, integration, and evaluation of complex systems. Utilize and extend DoD modeling and simulation environments; experience with Next Generation Threat System (NGTS) is highly desired. Produce clear documentation, technical reports, and briefings to communicate results and recommendations to internal teams and government customers. Interface with customers by participating in weekly test status and planning meetings, as well as technical interchange meetings with U.S. government stakeholders. Adapt to shifting priorities, multitasking across projects while maintaining focus on mission-critical outcomes. Support occasional non-standard work hours and schedules as required by project timelines or operational events.   Requirements Location: This position is expected to be fully onsite at SOCOM, HQ located in South Tampa. Travel requirements: Willingness and ability to travel up to 25%. Necessary Skills and Experience Bachelor’s degree in Modeling & Simulation, Data Science, Computer Science, Information Systems, Electrical Engineering, Software Engineering, Systems Engineering, or a related technical field. 10+ years of direct experience collaborating with analyst teams in DoD modeling, simulation, experimentation, and analysis. 6+ years of experience developing analytical methods and simulations to support system and mission-level assessments. Strong understanding of DoD capabilities, systems engineering processes, and M&S tools and environments. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Must have an active U.S. government Top Secret security clearance with ability to obtain SCI eligibility. Beneficial Skills and Experience Master’s degree in a relevant technical field. Experience with Next Generation Threat System (NGTS). Demonstrated experience applying MBSE practices in a DoD or defense contractor environment. Prior experience supporting Special Operations Forces (SOF) programs or other high-priority DoD initiatives.

We are excited to announce an opportunity for a highly skilled and experienced Senior System Administrator to join our IT department at CTI. This role is pivotal in driving innovation across our mission-critical programs. As a Senior System Administrator, you will be responsible for managing and supporting our advanced software and systems infrastructure. Collaborating with a team of experts, you will ensure the reliability, security, and performance of our systems across multiple sites, contributing significantly to our organizational success. Responsibilities include, but are not limited to: Oversee asset procurement, installation, configuration, and maintenance of hardware/software infrastructure Configure and manage Windows and Linux operating systems, commercial/government applications, IP networks, and switches Implement and maintain DoD and IC standard distributed authentication services Build systems from “bare metal” aligned with accredited baselines Ensure compliance with company and government IT policies Conduct regular security monitoring and intrusion detection Perform daily backups, file archival, and purging Manage user accounts and access controls Optimize system performance and conduct hardware upgrades Troubleshoot and recover from hardware/software failures across multiple sites Document and monitor CTI’s cybersecurity program implementation Maintain and support Thinklogical Audio and Video Wall Systems Assist in the development and continuous improvement of the Distributed Experimentation Environment (DE2) Modeling and Simulation applications and Next Generation Threat System (NGTS) as needed.  Assist in documenting and tracking all aspects of system development, installation, modification and maintenance. Aid in system security patching, installation and configuration. Ensure configuration identification by reviewing design release documents for completeness and proper authorizations. Requirements Necessary Skills and Experience Minimum of 5 years of experience applying engineering principles in a professional setting Proven ability to maintain, configure, operate, and troubleshoot complex electronic computer interface systems and network equipment Strong Linux/Unix administration skills (installation, configuration, troubleshooting) Strong understanding of U.S. Government computer systems, network infrastructure, and security protocols Experience administering server-side technologies and managing networked computing environments Bachelor’s degree in Computer Science, Information Technology, or related field Must have an active U.S. government Top Secret security clearance and be SCI eligible U.S. citizenship is required to obtain security clearances. ​ Maintain a flexible schedule and be able to work extended hours and/or weekends in support of exercises and events. Beneficial Skills and Experience Scripting experience (PowerShell, Bash) Familiarity with IT infrastructure tools (Terraform, Ansible, Puppet, Chef) Server-side development experience (PHP, Ruby on Rails, ASP.NET) Strong problem-solving and communication skills DoD 8570 Baseline Certification (Security+, GSLC, GSEC, etc.) Knowledge of DOD network infrastructures, especially in Hawaii USINDOPACOM AOR experience. Familiarization with Joint Fires Network (JFN) architecture and infrastructure. Strong, supportive, and productive Team player.