Lead RF AI/ML Engineer - Secure Communications

Frontdoor Defense; Woburn (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 solutions for national-security missions in a leadership capacity. You will oversee the design, implementation, integration, and transition of AI/ML-enabled RF capabilities, working with RF/communications researchers, software engineers, and DevSecOps on edge and on-premises deployments.

Strong background in AI/ML, RF systems, and secure software practices is essential; U.S.

Qualifications

• PhD with 2+ years of relevant experience in computer science, software engineering, computer engineering, or related technical discipline.
• MS with 6+ years of relevant experience in computer science, software engineering, computer engineering, or related technical discipline.
• BS with 8+ years of relevant experience in computer science, software engineering, computer engineering, or related technical discipline.
• Experience leading software development efforts, major workstreams, or complex subsystems.
• Ability to obtain and maintain a Top Secret security clearance; U.S. citizenship required.

Responsibilities

• Lead the technical development and delivery of AI/ML-based RF tools, algorithms, and software integrated with hardware, sensors, and compute.
• Own project architecture across RF and sensor-data pipelines, AI/ML integrations, services, APIs, databases, and deployment infrastructure.
• Drive integration, testing, demonstrations, and transition for mission-relevant software.
• Lead and mentor engineers and researchers; manage interfaces and risks; communicate status and tradeoffs to stakeholders.
• Translate mission needs into executable plans and architectures for 5G/6G AI-RAN capabilities and edge deployments.

Skills

Technical leadership

Communication and collaboration

RF/wireless knowledge

Secure software development practices

Education

PhD with 2+ years

MS with 6+ years

BS with 8+ years

Tools

Python

C++

Java

Go

Job description

STR’s Intelligence Division seeks a Lead Applied AI Engineer to drive RF AI/ML solutions for national-security missions in a leadership capacity. You will oversee the design, implementation, integration, and transition of AI/ML-enabled RF capabilities, working with RF/communications researchers, software engineers, and DevSecOps on edge and on-premises deployments.

Strong background in AI/ML, RF systems, and secure software practices is essential; U.S.