Staff Robotics Engineer

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

Staff Robotics Engineer role focused on delivering vehicle perception and planning capabilities for autonomous defense systems. This involves leading technical aspects, hands-on implementation, and end-to-end ownership of safe and effective vehicle autonomy throughout the product lifecycle. Responsibilities include architecting, designing, and implementing navigation, collision avoidance, situational awareness, sensor suites, perception algorithms, and planning algorithms, utilizing computer vision, sensor fusion, and machine learning. The role also involves testing, validation, and collaboration with cross-functional teams.

What you'd actually do

  1. Own customer success through the design and delivery of a multi-year, multi-stakeholder software roadmap that spans across multiple teams.
  2. Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
  3. Partner with external teams, collaborating on interfacing requirements between diverse systems and technologies
  4. Lead teams that architect, design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment.
  5. Drive the development and implementation of sensor suites, perception algorithms, planning algorithms, and test fixtures to deliver safe navigation and effective operation of Anduril’s autonomous vehicles

Skills

Required

  • C++ and/or Python software development
  • autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
  • computer vision, sensor fusion, SLAM, motion planning, machine learning
  • senior perception or planning role for the delivery of a robotic system
  • technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
  • collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
  • learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
  • Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

Nice to have

  • autonomous systems in the ground, air, maritime or space domains
  • simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
  • safety standards and certification processes for autonomous systems

What the JD emphasized

  • technical leads
  • extremely senior individual contributors
  • team leads that are also hands-on contributors
  • unparalleled end-to-end outcome ownership
  • rapid architecting, design, delivery, support, and evolution of safe and effective vehicle autonomy
  • entire product life-cycle
  • trusted safe navigation
  • collision avoidance
  • situational awareness systems
  • sensor suites
  • perception algorithms
  • planning algorithms
  • safe navigation
  • effective operation
  • whole perception and planning stack
  • computer vision
  • sensor fusion
  • machine learning
  • perception and planning capabilities
  • testing and validation
  • simulation
  • analysis of data from real-world experiments
  • evolving the data analysis tooling
  • stakeholder engagement
  • requirements definition
  • roadmap management
  • team co-ordination
  • design
  • implementation
  • sustainment
  • evolution
  • robust validation and verification strategies
  • perception and planning modules
  • mentoring junior team members effectively
  • building team cohesion and capacity
  • Australian Government Negative Vetting 2 security clearance (NV2)

Other signals

  • autonomous systems
  • AI
  • computer vision
  • sensor fusion
  • robotics
  • perception
  • planning
  • machine learning