Jobs at Innovative Defense Technologies (IDT)

Develop, refactor, and modernize mission-critical Navy tactical software into a microservices-based, cloud-native and edge-capable architecture. Design, implement, and test code in C/C++/Python/JavaScript/Java; perform technical assessments of legacy systems; collaborate with customers and cross-site teams; support lab and government test integration; apply DevSecOps, Agile practices, and software architecture principles.

Design, refactor, and test mission-critical Navy tactical software into a modern microservices and cloud-native stack. Work on legacy code modernization, prototype AI/ML solutions, integrate components, support lab and field testing, elicit requirements, participate in architecture and code reviews, and follow DevSecOps and Agile practices to deliver production-ready tactical systems.

Leads a technical team designing, architecting, integrating, deploying, testing, and operating complex software and hardware systems for DoD and Navy missions. Translates stakeholder requirements into solutions, manages program quality, cost, schedules, and resources, troubleshoots advanced system and network issues, leads field test execution, and collaborates with warfighters, test directors, and government sponsors. Requires active Secret clearance, on-site work in San Diego, and travel up to 25%.

Design, develop, integrate, and test tactical combat system software for Navy systems including SSDS, RAM, and CIWS. Build high-performance C++ or Java components, middleware wrappers, low-latency network interfaces, automated testing solutions, and software requirements from tactical specifications. Support IDT labs and Navy land-based test sites. The role requires five or more years of DoD software experience, an active Secret clearance, on-site work in Arlington, Virginia, and up to 10% travel.

Coordinates recruiting operations, including interview scheduling, job postings, candidate tracking, documentation, compliance, and stakeholder communication. Supports university recruiting, internships, career fairs, and emerging talent programming. Maintains recruiting systems and materials, improves processes, and assists with communications and engagement activities. The role requires strong organization, confidentiality, communication, Microsoft Office proficiency, and the ability to obtain and maintain an active Secret clearance.

Designs, prototypes, and implements AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. Evaluates AI tools and platforms, integrates capabilities into existing workflows and development processes, and supports organizational adoption through guidance and demonstrations. Collaborates with engineering, security, compliance, and business teams to deliver reliable solutions for sensitive and classified environments while advising on AI trends, security, compliance, and adoption strategies.

Develops and integrates AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. The role researches and prototypes AI tools, supports secure deployment in classified environments, guides organizational adoption, and collaborates with engineering, security, compliance, and program teams. Responsibilities include evaluating emerging technologies, integrating AI into workflows and CI/CD processes, ensuring reliability and compliance, and mentoring junior engineers.

Develops and integrates AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. Responsibilities include researching AI tools, prototyping and deploying solutions, integrating capabilities into workflows and CI/CD processes, supporting adoption, and advising on emerging technologies. The role collaborates with engineering, security, compliance, and business teams while ensuring solutions meet security requirements for sensitive and classified environments.

Develop SysML v2 system models and architectures using Agentic AI to generate requirements, use/verification/analysis cases, and structural/behavioral designs; build plugins via the SysML v2 API; model in Cameo Enterprise Architecture (CATIA Magic); collaborate with MBSE thought leaders on cutting-edge defense projects.

Supports UX and UI design for mission-critical software by refining design systems, updating and annotating Figma files, revising prototypes, creating visual assets, documenting use cases, and collaborating with stakeholders. The intern applies human-centered design, user advocacy, data-informed decision-making, and iterative design within an agile development process.

Supports UX and UI design for mission-critical software by refining design systems, updating and annotating Figma files, creating prototypes and visual assets, documenting use cases, and incorporating stakeholder feedback. Collaborates with agile teams using human-centered design, design thinking, user research, and iterative processes. The intern must be enrolled in a relevant design or HCI program, understand HTML and CSS, and be able to obtain or maintain an active Secret clearance.

Leads enterprise DevSecOps platform delivery, Agile planning, technical decision-making, stakeholder briefings, vendor coordination, and cross-functional engineering alignment. Manages program finances, risks, dependencies, and compliance across classified and air-gapped environments. Partners with government customers and engineering teams to deliver secure software factory capabilities using modern CI/CD, containerization, infrastructure-as-code, and automated security practices.

Leads a team supporting Linux and Windows systems in physical and virtualized Navy lab environments. Responsibilities include infrastructure installation, provisioning, troubleshooting, hardware and software architecture planning, vulnerability remediation, DISA STIG compliance, RMF preparation, network and virtualization support, documentation, and customer assistance. The role requires collaboration across organizations, workflow leadership, and up to 10% travel.

Design, build, test, integrate, and sustain secure software for mission-critical DoD systems. Collaborate with cross-functional teams on front- and back-end features, CI/CD (Jenkins), containerization, Kubernetes, and system integration while adhering to DoD security and performance standards.

Perform systems engineering for Naval tactical applications: IT infrastructure configuration management, hardware/software integration, testing (land and at-sea), documentation, standards enforcement, user training, and support cross-functional teams to meet government security and performance requirements.

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.

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.