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Lead DevOps engineering for mission-focused software teams: design, build, and maintain infrastructure and CI/CD pipelines across unclassified and classified environments. Manage cloud and Kubernetes deployments, ensure DoD compliance with corporate IT, implement monitoring/alerting, and coach teams on DevOps best practices. Support hybrid work with regular on-site access to government facilities.

Lead DevOps engineer responsible for designing, developing, and maintaining infrastructure and tooling to deploy software into operational (including classified) environments. Build and manage CI/CD pipelines, cloud and container platforms, Kubernetes clusters, security monitoring, and liaise with corporate IT. Coach teams on DevOps best practices and support deployments requiring on-site access to government or company facilities.

Lead design, develop, integrate, test, and demonstrate autonomy algorithms and backend software for uncrewed systems. Provide technical leadership, mentor engineers, drive architecture and engineering best practices, and collaborate with research scientists and customers across the software lifecycle.

The Senior Software Engineer will develop and validate real-time RF sensor software, integrating algorithms into systems and conducting rigorous testing.

Develop and research ML and estimation-theory algorithms for signals exploitation, tracking, and resource management. Build and train neural networks, run experiments and simulations, analyze performance, adapt novel ML methods to new modalities, collaborate on multidisciplinary teams, and interact with customers. Onsite role in Woburn, MA supporting national security missions.

The Lead Software Engineer will develop advanced technologies, design software solutions, and collaborate on multi-disciplinary teams to solve national security challenges.

Develop, evaluate, and deploy AI/ML models for national security applications. Analyze complex datasets, build scalable backend services and APIs, create visualizations and UIs, and collaborate with researchers, engineers, and customers to transition prototypes into production across cloud, on-prem, and edge environments.

Design, implement, and deploy AI/ML models and analytics pipelines for intelligence customers. Analyze large, noisy datasets, build scalable backend services and APIs, and create visualizations and UIs. Collaborate with researchers, engineers, and end users to prototype, harden, and operationalize machine learning solutions across cloud, on‑prem, and edge platforms.

Lead development and transition of advanced RF sensing and electronic warfare algorithms from concept to operational prototype. Architect signal-processing solutions, mentor multidisciplinary teams, engage customers to define mission needs, support proposals and business development, and apply modeling, simulation, and AI/ML approaches to solve complex RF sensing and counter-sensing challenges.

Design, implement, and operate integrated simulation testbeds for space and defense systems. Analyze system performance, develop and execute test plans, define evaluation criteria, and brief customers. Collaborate with research and software teams to integrate tools and support proposals and business development.