Applied AI Engineer — RF Sensing & Communications

ResumeXrays LLC; Woburn (MA); On-site; USD 120,000 - 150,000; Full time

Job summary

STR’s Intelligence Division is hiring an Applied AI Engineer to develop and maintain software for advanced analytics and machine-learning workflows, with emphasis on RF sensing and networking systems.

You will work across the full software life cycle, delivering features and integrations, supporting demonstrations and releases, and improving system reliability in mission-critical environments. U.S. citizenship and security clearance eligibility are required.

Qualifications

• MS or BS with 2 years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline.
• Proficiency in at least one programming language such as Python, C++, Java, Go.
• Experience applying AI/ML techniques to sensor/time-series/RF data problems.
• Familiarity with version-control systems such as Git; CI/CD and testing practices.

Responsibilities

• Develop, test, debug, and maintain software components, services, APIs, data-processing capabilities, tools, or interfaces for AI/ML, RF sensing, and networking workflows.
• Deliver well-scoped features, modules, integrations, and fixes from defined requirements.
• Support integration and test activities across unit, integration, and system testing.
• Collaborate with engineers and researchers to clarify requirements and resolve issues.
• Improve reliability, performance, maintainability, and testability of systems.
• Build technical depth by owning components within larger systems.

Skills

Python

C++

Java

Go

AI/ML

Time-series

RF sensing

Open RAN/AI-RAN

Git

CI/CD

REST APIs

Unit testing

Education

MS/BS + 2 yrs exp

Tools

Docker

Kubernetes

Linux

Git

CI/CD

Job description

STR’s Intelligence Division is hiring an Applied AI Engineer to develop and maintain software for advanced analytics and machine-learning workflows, with emphasis on RF sensing and networking systems.

You will work across the full software life cycle, delivering features and integrations, supporting demonstrations and releases, and improving system reliability in mission-critical environments. U.S. citizenship and security clearance eligibility are required.