Head of Engineering, Defense Os

Applied Intuition Applied Intuition · Robotics · Ann Arbor, MI · Government

Head of Engineering for Defense OS, focusing on building WarshipOS, a unified compute and data platform for Navy ships. The role involves leading technical strategy, building and growing a multi-disciplinary team, and overseeing the development of zonal compute architecture, data transport/SDK layer, AI/ML perception and fusion platform, and a SIL/HIL test environment with a digital twin. The goal is to integrate modern compute with legacy systems and deliver under strict constraints.

What you'd actually do

  1. Build and lead the DefenseOS engineering organization. Hire, structure, and grow a multi-disciplinary team across platform and software, EE and hardware architecture, perception and fusion, and integration and test, and develop its technical leads.
  2. Own the technical strategy and roadmap across the four WarshipOS pillars: zonal compute, data transport / API / SDK, AI/ML perception and fusion platform, and modern SIL/HIL test with a digital twin, aligned to the broader DefenseOS strategy.
  3. Lead the zonal architecture. Drive the design and deployment of location-based zone controllers and centralized compute that replace federated, domain-based designs, and their interfaces to prime-built combat, C4I, and HM&E systems.
  4. Stand up the software and data platform. Direct the middleware, APIs, and SDKs that extract and unify data from sensor and mission systems behind a common data plane across classification levels.
  5. Set engineering best practices across hardware and software: architecture, code review, CI/CD, automated and hardware-in-the-loop test, performance, and quality metrics suited to mission-critical, field-deployed systems.

Skills

Required

  • Engineering leadership at scale
  • managing other managers and technical leads
  • building and scaling a team from a small core
  • Shipped complex software platforms that integrate real-time, mission- or safety-critical systems
  • middleware, data transport, and APIs / SDKs that unify heterogeneous subsystems behind a common data plane
  • Led programs spanning hardware and software
  • Built the gateways, adapters, and abstraction layers that connect proprietary or undocumented interfaces into a unified data plane
  • Ownership of the full lifecycle from requirements through deployment and sustainment
  • disciplined execution in ambiguous, fast-moving programs
  • Cross-functional leadership and communication with product, hardware, operations, customers, and senior leadership
  • clear escalation of technical and schedule risk

Nice to have

  • U.S. Citizen
  • U.S. Secret security clearance

What the JD emphasized

  • mission-critical
  • field-deployed systems
  • reliability, latency, safety, and field-readiness constraints

Other signals

  • AI/ML perception and fusion platform
  • digital twin
  • unified compute and data platform