Jobs › Companies › Shieldai › Engineer II, Autonomy (R5715)

Sobre este puesto de Engineer II, Autonomy (R5715) en Shieldai

Shieldai · Híbrido · Melbourne
We’re on the lookout for an Engineer, Autonomy to join our Hivemind Solutions team and help design, build, and deploy real-world autonomous capabilities for uncrewed systems. This is a hands-on engineering role, blending software development with robotics, perception, and path planning. You’ll be joining a high-performing team shaping the future of AI pilots for solving real-world problems.

If you’re a capable C++ developer with a passion for robotics and autonomy, this is your chance to make a real impact. 

What you'll do:

As an Autonomy Engineer, you’ll work at the intersection of artificial intelligence, task & motion planning and controls. 
  • Design and implement autonomous behaviours for uncrewed aircraft. 
  • Work with real sensor data and build robust sensor fusion solutions. 
  • Develop and test autonomy systems in high-fidelity software and hardware in-the-loop simulations. 
  • Integrate Shield AI autonomy products together with third-party aircraft and systems. 
  • Collaborate across AI, robotics, and systems engineering teams to deliver integrated solutions. 
  • Contribute to architecture, code quality, design reviews and best practices. 
  • Lead and Mentor junior engineers
  • Required Qualifications:

  • A tertiary level qualification in Computer Science, Mechatronics, Software Engineering, Aerospace, Robotics or a related field
  • Significant professional experience in robotics, autonomy, perception or aerospace systems
  • Strong experience in modern C++
  • Significant experience in building and delivering reliable software systems, ideally in fast-paced environments
  • Preferred Qulaifications:

  • Prior experience with uncrewed systems, especially in the air domain
  • Defence industry experience
  • Significant experience in one or more of the following domains:
  • State Estimation
  • Real-Time Systems
  • Guidance, Navigation and Control
  • Path Planning
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