Jobs at Innovative Defense Technologies (IDT)

Lead and mentor a systems engineering team to design, install, maintain, and secure physical and virtual servers and network devices. Manage patching, hardening, DISA STIG updates, RMF assessments, automation, and documentation across Red Hat, Windows, and VMware environments. Serve as technical liaison, drive engineering best practices, and support customer sites with up to 25% travel.

Serves as the division’s senior AI advisor, leading the integration of generative AI, LLMs, machine learning, and intelligent data-processing capabilities into mission-critical defense software. Develops AI pipelines, dashboards, prototypes, developer tooling, and AI-augmented engineering standards. Evaluates AI-generated code for security and reliability, mentors engineering teams, supports secure classified deployments, and identifies lifecycle automation opportunities. The role is onsite in Arlington, Mount Laurel, or San Diego, with travel up to 10%.

Serves as the senior AI authority for defense software engineering, leading generative AI, LLM, machine learning, NLP, and AI automation adoption. Integrates AI models into mission-critical systems, develops intelligent data pipelines and AI-enabled interfaces, evaluates developer tooling, establishes secure AI engineering standards, and mentors engineering teams. The role also prototypes AI use cases, supports responsible AI governance, and collaborates across engineering, security, compliance, program management, and systems teams.

Supports defense technology programs by coordinating schedules, milestones, deliverables, risks, staffing, budgets, forecasts, customer communications, and cross-functional execution. The role assists with financial management, EAC development, resource planning, program reporting, PMO processes, and stakeholder coordination while developing toward independent program management responsibilities.

Serve as the strategic and technical AI advisor for a defense engineering division. Lead AI and LLM integration into mission-critical software, develop NLP pipelines and AI-enabled dashboards, prototype emerging developer tools, establish AI-augmented engineering standards, and mentor teams on generative AI workflows. Evaluate AI-generated code for security, correctness, and performance while supporting responsible AI, secure SDLC practices, and deployment in sensitive environments. Collaborate with engineering, security, compliance, program management, and chief engineering teams.

Serve as the division’s chief AI advisor, leading adoption, integration, governance, and deployment of generative AI, LLMs, machine learning, and intelligent automation across mission-critical defense software. Develop AI and NLP pipelines, dashboards, prototypes, and developer tooling; establish AI-augmented engineering standards; evaluate AI-generated code; mentor engineering teams; and ensure secure, reliable, compliant implementation in sensitive environments.

Serves as the division’s chief AI advisor, leading adoption, integration, governance, and secure deployment of generative AI, LLMs, machine learning, and automation across mission-critical defense software. Develops AI pipelines, dashboards, prototypes, and developer tooling; evaluates emerging frameworks; establishes AI-augmented engineering standards; and mentors engineering teams. The role requires collaboration across engineering, security, compliance, and program leadership, with responsibility for reliable, secure, and mission-assured AI solutions.

Serves as the organization’s chief AI advisor, leading the adoption, integration, governance, and secure deployment of generative AI, LLMs, machine learning, and automation across defense software systems. Develops AI-enabled engineering practices, NLP pipelines, dashboards, prototypes, and production integrations while evaluating emerging developer tools. Mentors engineering teams, defines AI standards, addresses security and compliance risks, and collaborates with technical and non-technical stakeholders to improve delivery speed, reliability, and mission assurance.

Design, develop, test, and integrate high-quality software for defense customers. Translate requirements into technical designs, implement solutions across multiple stacks, participate in code reviews, apply secure coding practices, support lab and field integration/testing, and manage project risks and contractual deliverables.

Design and verify system-of-systems solutions for defense customers: translate requirements into testable designs, develop data/test algorithms, perform integration and verification, analyze system behavior, implement SysML models, and communicate results to stakeholders.

Develop, integrate, and test undersea combat and navigation systems for submarine platforms. Lead testing, support system installations at Submarine Learning Centers, engage with fleet to capture requirements, troubleshoot SWFTS architecture, and produce installation and test documentation to support modernization training.

Systems Engineer will translate customer needs into system solutions, develop test/data algorithms, define requirements, design/verify system architectures, create test plans, perform integration and analysis, implement SysML models, and communicate with customers to close technical issues. On-site role requiring Secret clearance and ~10% travel.

Design, deploy, and maintain enterprise Linux systems and system images with deep kernel-level expertise. Manage hyperconverged and virtualization infrastructures, architect virtual and physical networking, perform cross-stack troubleshooting, integrate cybersecurity and compliance, and produce clear technical designs for cross-functional teams in a defense environment.

Design, develop, test, and integrate software for defense customers. Convert requirements into technical solutions, implement secure, high-quality code, participate in reviews, support lab and on-site integration, and manage risks and contractual deliverables.

Design, build, and deploy on‑prem, air‑gapped AI/agent systems: integrate LLMs, MCP interfaces, RAG retrieval, and orchestration; optimize local CPU/GPU inference, harden Linux environments, run experiments, and collaborate across engineering and mission teams to move prototypes into operational capabilities.

Design and deliver on-prem, air-gapped AI systems and agentic workflows. Build integrations across LLMs, MCP, RAG pipelines, tool-using agents, orchestration, local inference infrastructure, and test/optimize production AI capabilities for mission environments.

Lead a team to develop and maintain Infrastructure-as-Code for automated deployment and configuration of Kubernetes-based multi-site microservice applications. Debug deployment/configuration issues, manage on-site and airgapped Kubernetes clusters, implement secure coding and automation, mentor engineers, integrate components, support test/integration activities, and use AI tools to accelerate deployments and troubleshooting.

Design, build, and maintain secure software and systems for DoD environments. Perform vulnerability scanning, penetration testing, incident response, and automate security tooling. Integrate DevSecOps and SSDLC practices, implement identity and encryption controls, and develop ML models for anomaly detection and proactive threat hunting.

Design, build, test, and deliver secure frontend features and UI components for mission-critical DoD systems. Integrate with backend REST APIs, troubleshoot across environments, and support CI/CD, Jenkins pipelines, containerization, and Kubernetes deployments while adhering to DoD security and performance standards.

Design, test, and evolve AWS-hosted real-time defense systems. Perform system stress testing and MATLAB modeling, analyze probabilistic combat performance measures, validate DDS RTI/UDP architectures, ensure software certification, and mentor junior engineers. On-site in Mount Laurel, NJ; requires ability to obtain/maintain Secret clearance.