About the Team
STR’s Intelligence Division researches, develops, and transitions advanced analytics and machine-learning solutions for challenging national-security problems. Our team includes engineers and researchers with advanced backgrounds in engineering, computer science, mathematics, and data science who apply deep technical expertise and creativity to mission-critical challenges.
Our work spans data analysis, deep learning, and statistical methods across networking, communications, social media, text, time series, geospatial, and imagery data. We develop capabilities under constraints not typically encountered in commercial environments. U.S. Government analysts use our tools and technologies to extract, enrich, and act on intelligence information worldwide.
The Role
As an Applied AI Engineer, you will develop, integrate, test, and maintain software that supports advanced analytics, machine learning, and intelligence workflows, with a focus on RF sensing, waveform generation, communications, and networking systems. You will work with a multidisciplinary team to transform defined requirements and technical designs into reliable, maintainable, and mission-relevant software capabilities.
You will contribute across the development lifecycle, including implementation, debugging, testing, documentation, integration, and operational support. This role provides opportunities to grow technical depth and independently own well-defined components within larger systems.
This is a technical individual-contributor role. You will independently execute well-scoped technical tasks, communicate progress and blockers, and seek guidance when requirements, interfaces, or technical decisions require clarification.
What You Will Do:
- Develop software: Implement, test, debug, and maintain software components, services, APIs, data-processing capabilities, tools, or user interfaces supporting AI/ML, RF sensing, communications, and networking workflows
- Deliver assigned capabilities: Implement well-scoped features, modules, integrations, and fixes from defined requirements and technical designs. Contribute to AI/ML, RF sensing, waveform generation/adaptation, communications, and networking capabilities within larger systems
- Support integration and test: Participate in unit, integration, system, and regression testing; troubleshoot issues and support demonstrations and releases. Support integration of software with RF/sensor data sources, AI/ML models, communications services, Open RAN components, waveform generation/adaptation, and edge or on-premises compute environments
- Apply engineering practices: Use version control, code review, automated testing, issue tracking, documentation, and secure coding practices to develop reliable, maintainable software
- Collaborate across the team: Work with software engineers, systems engineers, RF/communications researchers, DevSecOps personnel, and other stakeholders to clarify requirements, resolve technical issues, and communicate progress, findings, and blockers
- Improve existing systems: Identify and implement improvements to reliability, performance, maintainability, usability, and testability. Contribute to AI/ML-enabled RF sensing and communications capabilities
- Build technical depth: Learn team technologies, domain context, development workflows, and deployment environments while taking increasing ownership of assigned work. Build familiarity with AI/ML, RF sensing, Open RAN, edge AI, and high-throughput or latency-sensitive communications workflows as applicable
Who You Are:
- Education and experience: MS, or BS with 2 years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline
- Clearance eligibility: Ability to obtain and maintain a Secret or Top Secret security clearance, for which U.S citizenship is needed by the U.S government
- Programming foundation: Proficiency in at least one programming language, such as Python, C++, Java, Go, or similar languages
- AI/ML and communications experience: Experience applying AI/ML techniques and tools to solve technical problems involving sensor, time-series, RF, communications, or other non-textual data. Experience with RF signal processing, wireless communications, 5G/6G RAN, O-RAN/AI-RAN, waveform generation/adaptation, or edge AI is strongly preferred
- Software development experience: Experience developing, testing, debugging, and maintaining software through coursework, internships, research, professional work, or personal projects. Ability to implement defined designs, troubleshoot technical issues, and contribute to integrated software systems
- Engineering fundamentals: Familiarity with object-oriented design, data structures, algorithms, software design patterns, and version-control systems such as Git
- Quality mindset: Familiarity with unit testing, debugging, documentation, code review, CI/CD, containers, and secure software-development practices
- Collaboration and communication: Ability to work effectively on a technical team; communicate progress, technical findings, and blockers clearly; and seek guidance when technical requirements or decisions are unclear
Even Better:
- Active Secret or Top Secret security clearance
- RF and wireless systems: Experience with digital signal processing, software-defined radios, RF sensing, wireless communications, or PHY/MAC processing.
- AI-RAN and edge deployment: Familiarity with 5G/6G, Open RAN, or AI-RAN architectures and deployment of AI/ML models to edge, GPU-enabled, resource-constrained, or hardware-accelerated compute platforms.
- Real-time communications software: Experience developing or testing high-throughput, latency-sensitive software for RF sensing, PHY, MAC, scheduling, radio-resource management, or related functions.
- Containers and deployment: Familiarity with Docker, CI/CD pipelines, Linux deployment environments, cloud services, Kubernetes, monitoring, logging, or infrastructure automation.
- Web and API development: Experience developing REST APIs, backend services, web applications, dashboards, visualization tools, or data-processing services.
- Data and decentralized systems: Familiarity with message queues, stream processing, distributed computing, microservices, time-series data, or real-time analytics pipelines.
- Modern development tools: Experience using LLM-enabled development tools, such as Cursor or Codex, in a secure and effective engineering workflow
- Mission experience: Experience supporting DoW, IC, or other U.S. Government customers through internships, research, employment, or related programs
Pay Information
Full-Time Salary Range: $120,000 - $150,000
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.
STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.
If you need a reasonable accommodation for any portion of the employment process, email us at [email protected] and provide your contact info.
Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
Skills Required
- Master’s degree, or bachelor’s degree with two years of relevant experience, in computer science, software engineering, computer engineering, or a related technical discipline
- Ability to obtain and maintain a Secret or Top Secret security clearance; U.S. citizenship required for government clearance eligibility
- Proficiency in at least one programming language such as Python, C++, Java, or Go
- Experience applying AI/ML techniques to sensor, time-series, RF, communications, or other non-textual data
- Experience developing, testing, debugging, and maintaining software through coursework, internships, research, professional work, or personal projects
- Familiarity with object-oriented design, data structures, algorithms, software design patterns, and Git
- Familiarity with unit testing, debugging, documentation, code review, CI/CD, containers, and secure software-development practices
- Ability to collaborate effectively, communicate technical progress and issues clearly, and seek guidance when requirements are unclear
- Experience with RF signal processing, wireless communications, 5G/6G RAN, O-RAN/AI-RAN, waveform generation or adaptation, or edge AI
- Active Secret or Top Secret security clearance
- Experience with digital signal processing, software-defined radios, RF sensing, wireless communications, or PHY/MAC processing
- Experience deploying AI/ML models to edge, GPU-enabled, resource-constrained, or hardware-accelerated platforms
- Experience developing or testing high-throughput, latency-sensitive communications software
- Familiarity with Docker, Linux deployment, cloud services, Kubernetes, monitoring, logging, or infrastructure automation
- Experience developing REST APIs, backend services, web applications, dashboards, visualization tools, or data-processing services
- Familiarity with message queues, stream processing, distributed computing, microservices, time-series data, or real-time analytics pipelines
- Experience using LLM-enabled development tools such as Cursor or Codex
- Experience supporting Department of War, Intelligence Community, or other U.S. Government customers
What the Team is Saying
STR Compensation & Benefits Highlights
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Retirement Support — Retirement benefits are highlighted by a 401(k) with a 4% company match plus a 6% profit-sharing contribution, which can materially boost total rewards if paid as advertised. This combination stands out repeatedly as a core strength of the package.
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Healthcare Strength — Health coverage includes medical and dental insurance, STR-paid vision, employer HSA/HRA contributions, and company-paid life and disability insurance. Mental-health, financial counseling, and an employee assistance program add breadth to the core protections.
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Parental & Family Support — Paid parental leave for birthing and non-birthing parents is offered alongside PTO and company holidays. Dependent-care options and commuter and wellness perks further support family and lifestyle needs.
STR Insights
What We Do
STR makes the world a safer place by developing technology and applying it to solve emerging national security challenges.
Why Work With Us
We believe in a people-first culture. Yes, we are scientists, engineers, and researchers, but first, we are people. Our environment is designed to foster innovation by encouraging our employees to work collaboratively on things they are passionate about. We also really like to have fun. We believe that working hard and playing hard go hand in hand.
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STR Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
