Engineer 2
Shield AI
Engineer 2
Shield AI
Builds autonomous aircraft for defense
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
Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.
Explore more opportunities at Shield AI