Jobs at STR

Design, simulate, integrate, and test RF hardware systems for space-based sensing and electronic warfare. Perform trade studies, bench/unit tests, over-the-air demonstrations, system integration and verification, collaborate with signal processing teams, and produce specifications, test plans, and performance reports.

Lead development and application of advanced signal processing, detection, classification, and machine learning algorithms for radar and RF sensing/electronic warfare. Engage customers, lead multidisciplinary teams, translate capabilities into requirements, develop prototypes and demonstrations, and support business development and proposals.

Define system and software architectures for resource-constrained embedded signal-processing platforms. Analyze algorithms to produce system requirements; recommend CPU/DSP/FPGA or hybrid solutions; design, implement, optimize, and port embedded middleware/application software; partition functions between processors and FPGAs; collaborate with integrators and stakeholders; and mentor and provide technical guidance to engineering teams.

Lead design and implement real-time digital signal processing software for multi-function radar/EW systems. Architect embedded solutions, perform simulation and field testing, optimize performance, produce design/test documentation, and lead/mentor cross-functional teams through development and deployment.

Develop and productionize machine learning systems for national security applications. Responsibilities include translating customer needs into technical requirements, architecting scalable systems, building backend services and APIs, designing responsive interfaces, deploying applications across cloud and edge environments, optimizing CI pipelines, and applying software engineering best practices. The role requires model development with Python frameworks, NVIDIA GPU experience, Docker, databases, frontend technologies, testing, observability, and performance optimization.

Manage the full federal procurement lifecycle from planning through closeout, ensuring compliance with FAR, DFARS, and company policies. Lead market research, supplier qualification, sourcing, negotiations, cost and price evaluations, purchase order management, vendor relationships, and procurement documentation. Partner with Programs, Finance, Contracts, and Engineering teams, resolve supply chain risks, support defense and intelligence programs, apply AI-enabled tools, and improve procurement processes.

Develop and operationalize machine learning and statistical algorithms in production software systems supporting national security. Build data pipelines, storage and access systems, standardized software packages, and operational tools. Deploy and monitor reliable capabilities, establish software standards, collaborate with researchers and engineers, engage customers, and lead development initiatives from prototype through production.

Owns end-to-end test and evaluation for advanced maritime and undersea systems. Defines master test plans, standards, methodologies, acceptance criteria, and milestone assessments; independently evaluates technical risk and system readiness; oversees qualification campaigns, developmental testing, integration, instrumentation, and technical reviews. Advises leadership and government stakeholders, standardizes T&E practices across programs, drives infrastructure reuse, and leads assessments of software, hardware, and system-level capabilities.

Manage multiple advanced undersea technology and signal-processing programs for national security customers. Responsibilities include tracking cost, schedule, and technical performance; leading proposals; managing subcontractors and contract manufacturers; coordinating multidisciplinary teams; briefing leadership; maintaining program baselines; and anticipating and resolving risks, resource, security, and contracting challenges. The role requires substantial defense or intelligence program management experience, technical understanding of undersea systems, and active high-level security clearance.

As a Lead Model-Based Systems Engineer, you will design, implement, and support complex software systems, utilizing Systems Engineering principles and MBSE techniques to ensure architectural integrity and traceability throughout development.

Lead development and application of advanced signal processing and algorithms for HF communications, including detection, equalization, geolocation, modeling, simulation, and prototype demonstrations. Collaborate with multidisciplinary teams and customers, document and present technical analyses, and support system integration, testing, and optimization for national security sensor systems.

Lead technical teams in developing and integrating advanced signal processing, optimization, and machine learning algorithms for electronic warfare and sensor applications.

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.

Lead research and development of advanced HF signal-processing algorithms (detection, equalization, geolocation), model and simulate HF propagation, guide multidisciplinary teams, engage customers, and support prototyping, testing, and proposal/business development.

Seeking a Senior Systems Integration and Test Engineer to oversee integration/test of advanced RF systems, working with teams to ensure software/hardware functionality, developing test plans, and providing test metrics with a focus on DoD systems.

The Senior IT Support Specialist resolves complex hardware, software, and network issues, manages IT resources, and provides exceptional support to users.

Researches, develops, evaluates, and integrates AI and machine learning models for national security applications. Analyzes multimodal datasets, including text, imagery, geospatial, time series, and social media data, to identify patterns and generate intelligence insights. Collaborates with researchers, engineers, domain experts, customers, and end users; communicates findings, defines requirements, responds to feedback, and mentors teammates. Work primarily occurs onsite in Woburn, Massachusetts, or Arlington, Virginia.

Research and develop AI and machine learning models for multimodal datasets supporting national security and intelligence missions. Analyze sparse, noisy, and high-dimensional data; identify patterns; build production-ready algorithms; communicate findings to customers; collaborate with multidisciplinary teams; and mentor others. Work includes statistical modeling, deep learning, language models, geospatial analysis, and advanced analytics.

The Principal Model-Based Systems Engineer leads teams using MBSE approaches for DoD mission areas, mentors junior engineers, and ensures compliance with digital engineering goals.

The Senior DevOps Engineer will establish CI/CD infrastructure for embedded systems, manage deployment environments, and support software development teams with automation and testing frameworks.