Principal Engineer, AI Infrastructure (r4941)

Shield AI Shield AI · Defense · San Francisco, CA · Engineering

Principal Engineer to scale AI and Data Platform infrastructure for autonomy development, supporting the full lifecycle from training foundation models to deploying optimized models to edge systems in defense applications.

What you'd actually do

  1. scale an initial architecture into a platform that supports multiple autonomy programs
  2. ensuring engineers can move efficiently from idea to trained model to deployed capability
  3. infrastructure decisions reflect the realities of the domain, including simulation-driven development, continuously evolving multi-modal sensor data, and deployment to constrained and reliability-critical systems
  4. defining how these capabilities extend beyond internal use
  5. establishing how Shield AI delivers AI infrastructure in customer environments across on-premise, cloud, hybrid, and sovereign or nationally constrained environments

Skills

Required

  • AI Infrastructure
  • Platform Engineering
  • Autonomy Systems
  • Model Training
  • Simulation
  • Data Management
  • Model Deployment
  • Edge Computing
  • Multi-modal Sensor Data
  • Reliability Engineering
  • Cost Control
  • Architectural Consistency

Nice to have

  • Defense Applications
  • On-premise Deployment
  • Cloud Deployment
  • Hybrid Deployment
  • Sovereign Environments
  • Nationally Constrained Environments

What the JD emphasized

  • reliability-critical systems
  • deployment to constrained and reliability-critical systems

Other signals

  • AI Infrastructure
  • Autonomy Systems
  • Edge Deployment