Lead Applied AI Engineer

The role

You will lead the technical development and delivery of RF AI/ML-based tools, algorithms, and software. This role involves designing, implementing, and integrating software spanning data processing, AI/ML models, and communications services.

What you will do

• Lead development and delivery of AI/ML, RF sensing, and communications/networking capabilities
• Convert customer objectives into requirements, architectures, and development plans
• Lead and mentor engineers and researchers
• Decompose complex work into actionable tasks and subtasks
• Design and oversee architectures for RF and sensor-data pipelines and AI/ML integrations
• Lead design reviews, code reviews, integration, and testing
• Contribute technical content to proposals and customer engagements

Required qualifications

• PhD with 2+ years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline
• MS with 6+ years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline
• BS with 8+ years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline
• Experience leading software development efforts, major workstreams, or complex subsystems
• Experience translating customer needs into requirements, designs, development and test plans
• Experience managing interfaces among software, AI/ML, RF, communications, hardware, data, and deployment components
• Experience applying AI/ML to operational problems involving sensor, time-series, RF, communications, or other non-textual data
• Proficiency in Python, C++, Java, Go, or a similar language
• Experience with Git, code review, automated testing, CI/CD, containers, issue tracking, documentation, and secure software-development practices

Nice to have

• Experience with RF signal processing, wireless communications, 5G/6G RAN, O-RAN/AI-RAN, waveform generation/adaptation, or edge AI
• Active Secret, Top Secret, or TS/SCI security clearance
• Experience designing system or software architectures for distributed, data-intensive, real-time, cloud, on-premises, edge, RF sensing, or communications systems
• Experience with digital signal processing, software-defined radios, PHY/MAC processing, or RF sensing
• Familiarity with 5G/6G or Open RAN architectures and deployment of optimized models to edge AI/ML accelerators
• Experience developing high-throughput, latency-sensitive software for PHY, MAC, scheduling, or radio-resource management
• DevSecOps experience
• Experience developing software in large, multi-team codebases
• Familiarity with message queues, stream processing, distributed computing, or microservices
• Experience supporting technical proposals, customer demonstrations, technical briefings, or capture activities with DoW or IC customers

Before you apply

• Ability to obtain and maintain a Top Secret security clearance
• U.S. citizenship is needed by the U.S government

About the company

STR is a growing technology company specializing in advanced research and development for defense, intelligence, and national security. The Intelligence Division researches, develops, and transitions advanced analytics and machine-learning solutions for national-security problems.