Lead project execution: development and delivery of AI/ML, RF sensing, and communications/networking capabilities from requirements through deployment and sustainment
Translate mission needs into plans: convert customer objectives into requirements, architectures, development plans, milestones, performance measures, and acceptance criteria
Lead the technical team: mentor engineers and researchers, collaborate with systems engineers, RF/communications researchers, DevSecOps personnel and mission partners, communicate technical status, decisions, risks, and tradeoffs
Manage technical work: decompose complex work into actionable tasks and subtasks, manage dependencies, technical risks, interfaces, and progress toward program objectives
Own project architecture: design and oversee architectures spanning RF and sensor-data pipelines, AI/ML integrations, services, APIs, databases, user interfaces, Open RAN integrations, and deployment infrastructure
Requirements
PhD in computer science, software engineering, computer engineering, or related technical discipline
MS in computer science, software engineering, computer engineering, or related technical discipline
BS in computer science, software engineering, computer engineering, or related technical discipline
Nice to have: Active Secret, Top Secret, or TS/SCI security clearance
Nice to have: Architecture experience for distributed, data-intensive, real-time, cloud, on-premises, edge, RF sensing, or communications systems
