Senior Manager, Software Engineering

Anduril Anduril · Defense · Sydney, Australia · Maritime & Maneuver Dominance : Undersea Dominance - Engineering & Operations

Senior Software Engineering Manager to lead teams in developing and delivering software for autonomous robotic systems in the defense technology sector. The role involves end-to-end ownership of software for integrated product families, including autonomy, simulation, data processing, and command and control. Responsibilities include roadmap planning, architecture design, team management, and process improvement, with a focus on delivering cutting-edge AI and robotics solutions.

What you'd actually do

  1. Collaborate with your Technical Lead and other managers to design and deliver on a multi-year, multi-stakeholder software roadmap that spans across multiple groups of teams and products
  2. Leverage internal product and program-specific engineering teams, and external third-parties, to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
  3. Manage architecture selection and design for robotic systems, including hardware selection, compute, storage and network architecture, service orchestration and other software platform concerns that balance constraints, restrictions and requirements in a multi-stakeholder environment
  4. Influence the design and development of a company wide roadmap for software inputs to autonomous systems, ensuring it meets the needs of your group
  5. Manage a group of teams that develop software that runs on- and off- platform, using a variety of technologies

Skills

Required

  • Software Engineering Management
  • Robotics
  • Autonomy
  • Computer Vision
  • Sensor Fusion
  • Software Architecture
  • Roadmap Planning
  • Team Leadership
  • Agile Development Processes
  • Full Lifecycle Testing

Nice to have

  • Experience in defense technology
  • Experience with maritime operations
  • Experience with Robot-as-a-Service (RaaS)

What the JD emphasized

  • end-to-end outcome ownership
  • multi-year, multi-stakeholder software roadmap
  • architecture selection and design for robotic systems
  • software inputs to autonomous systems
  • full lifecycle testing

Other signals

  • AI-powered operating system
  • autonomous systems
  • robotics
  • computer vision
  • sensor fusion