Applied AI Engineer: RF Sensing & Open RAN

systemstechnologyresearch; Woburn (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

systemstechnologyresearch is seeking an Applied AI Engineer in the United States (Massachusetts). You will develop, integrate, test, and maintain software supporting analytics, machine learning, and intelligence workflows with a focus on RF sensing and networking systems.

Work with a multidisciplinary team to translate requirements into reliable software capabilities. You will contribute across the development lifecycle, including implementation, debugging, testing, documentation, integration,

Qualifications

• Education and experience: MS, or BS with 2 years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline.
• Proficiency in programming languages such as Python, C++, Java, or Go.
• Experience applying AI/ML techniques to solve technical problems involving sensor, time-series, RF, communications, or other non-textual data.
• Experience developing, testing, debugging, and maintaining software, and contributing to integrated software systems.
• Familiarity with object-oriented design, data structures, algorithms, and software design patterns.
• Familiarity with unit testing, debugging, documentation, code review, CI/CD, containers, and secure software-development practices.

Responsibilities

• Develop software components, services, APIs, data-processing capabilities, tools, or user interfaces supporting AI/ML, RF sensing, communications, and networking workflows.
• Deliver well-scoped features, modules, integrations, and fixes from defined requirements and technical designs.
• Support unit, integration, system, and regression testing; troubleshoot issues and support demonstrations and releases.
• Apply engineering practices: version control, code review, automated testing, documentation, and secure coding practices.
• Collaborate with software engineers, systems engineers, RF/communications researchers, DevSecOps, and other stakeholders.
• Improve existing systems for reliability, performance, maintainability, usability, and testability.
• Build technical depth and ownership of assigned work across AI/ML, RF sensing, Open RAN, edge AI, and high-throughput/latency-sensitive workflows.

Skills

Clearance eligibility

Programming foundation

AI/ML experience

Software development

Engineering fundamentals

Quality mindset

Education

MS or BS + 2 years experience

Tools

Python

C++

Java

Go

Job description

systemstechnologyresearch is seeking an Applied AI Engineer in the United States (Massachusetts). You will develop, integrate, test, and maintain software supporting analytics, machine learning, and intelligence workflows with a focus on RF sensing and networking systems.

Work with a multidisciplinary team to translate requirements into reliable software capabilities. You will contribute across the development lifecycle, including implementation, debugging, testing, documentation, integration,