Principal Engineer Edge Applications and Mission Systems

Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.

Series F+Recently funded
San Diego, United States
About Shield AI

Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will define and evolve architecture for operator applications, backend services, mission data, interfaces, and edge deployments. You will guide C2 interoperability, customer extensibility, fleet architecture, AI-assisted workflows, technical roadmaps, and customer deployments in contested environments.

Requirements

  • 15+ years of professional software engineering experience or equivalent technical impact
  • 5+ years of technical leadership as a technical lead, architect, Principal Engineer, or equivalent
  • Defense GCS and C2 application development experience
  • Mission planning, mission execution, operator workflows, and battle-management integration
  • Experience shipping and sustaining software for defense customers
  • Software architecture across distributed systems, application services, APIs, data management, and operator-facing software
  • Extensible platform development, interface design, versioning, and integration
  • Autonomous robotics applications, fleet operations, configuration management, and telemetry
  • Networked systems and edge-deployment experience
  • Bachelor's or advanced degree in a related field or equivalent practical experience

Responsibilities

  • Own platform architecture across operator applications, backend services, mission data, interfaces, and edge deployments
  • Guide mission applications for multi-vehicle and heterogeneous-fleet operations
  • Establish APIs, SDKs, data models, extension mechanisms, and integration tooling
  • Lead C2 and battle-management-system interoperability
  • Guide operator and AI-assisted workflows
  • Establish fleet, configuration, update, rollback, and traceability architecture
  • Design for intermittent connectivity, constrained resources, distributed state, and partial failures
  • Drive architectural roadmaps, milestones, tradeoffs, and delivery
  • Support customer requirements, acceptance, deployment, sustainment, and release improvement

Benefits

  • Bonus
  • Benefits
  • Equity