Lead RF AI Engineer — 5G/6G Open RAN Edge

STR; Boston (MA); On-site; USD 180,000 - 230,000; Full time

Job summary

STR’s Intelligence Division seeks a Lead Applied AI Engineer to drive RF AI/ML tools and software integrated with hardware and sensors. You will lead design, integration, testing, and transition across data processing, AI/ML models, and edge compute, partnering with software, RF researchers, and mission partners.

You will own project architecture and guide teams, delivering secure, scalable capabilities for national-security applications, including 5G/6G, waveform adaptation, and edge deployment.

Qualifications

• PhD with 2+ years, MS with 6+ years, or BS with 8+ years in CS or engineering.
• Security clearance eligibility: U.S. citizenship and ability to obtain Top Secret clearance.
• Experience leading software development efforts and major workstreams; ability to define tasks and manage risks.

Responsibilities

• Lead development and delivery of AI/ML, RF sensing, and communications capabilities from requirements through deployment.
• Translate mission needs into requirements, architectures, and milestones with measurable success criteria.

Skills

Python

C++

Java

Go

AI/ML

RF sensing

Open RAN

Cloud edge AI

Git

CI/CD

Team leadership

Systems integration

Education

PhD + 2+ years

MS + 6+ years

BS + 8+ years

Tools

Git

CI/CD

Containers

Debugging/Profiling tools

Job description

STR’s Intelligence Division seeks a Lead Applied AI Engineer to drive RF AI/ML tools and software integrated with hardware and sensors. You will lead design, integration, testing, and transition across data processing, AI/ML models, and edge compute, partnering with software, RF researchers, and mission partners.

You will own project architecture and guide teams, delivering secure, scalable capabilities for national-security applications, including 5G/6G, waveform adaptation, and edge deployment.