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Added 1 min ago
Software Engineer
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The Software Engineer V is a highly experienced technical leader responsible for designing, developing, testing, deploying, maintaining, and continuously improving software systems that…
Added 3 mins ago
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…commercial space industry. We deliver innovative engineering, software, and technology integration services across NASA centers nationwide. Barrios prides itself on a people-focused culture…
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Added 10 mins ago
Applied AI Engineer
STR
Woburn, MA · Arlington, VA
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Added 13 mins ago
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Added 19 mins ago
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Senior Software Engineer - Remote
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Added 22 mins ago
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Added 25 mins ago
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Added 25 mins ago
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Added 25 mins ago
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Added 25 mins ago
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Embedded Software Engineer I (Onsite)
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Join the Secure Product Assurance/Sensors Space and Air Software team at Raytheon, where we develop cutting-edge software applications focused on solving our customers' toughest defense…

STR

Applied AI Engineer

Woburn, MA, United States
Arlington, VA, United States

Pay Information Full-Time Salary Range: $120,000 - $150,000

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Job details

Pay: Pay Information Full-Time Salary Range: $120,000 - $150,000
Experience: Education and experience: MS, or BS with 2 years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline
Posting language: English
Posted: Nov 9, 2026

Original job description

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 appassist@str.us 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.

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More about this job

Skills

Machine learning
Computer science
Data analysis
Debugging
Documentation
Process data
ML
Troubleshoot
Test automation
Computer engineering
Python
C++
Oracle Java
Go
Solve technical problems
Signal processing
Software development
Research
Control systems
Git
Unit testing
CI/CD
Collaboration
Communication skills
Scheduling
Docker
Linux
Kubernetes
API development
Distributed computing
Microservices
Workflow

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