Robot software systems engineer at a pre-seed robotics/AI startup building a platform where robots learn behaviours via imitation and reinforcement learning. Day to day: integrating learning algorithms into a ROS-based robotics stack, building backend services, monitoring/control infrastructure, and simulation/testing frameworks.
Expressions of interest for a future mechatronics/prototyping role at Imitation Machines, a pre-seed robotics AI startup. The engineer will support in-house and on-site robot integration, set up hardware experiments, and maintain the robot fleet, working across electromechanical systems, rapid prototyping, embedded systems, ROS, and CAD. Primary location: Sydney, Australia.
Research engineer at a pre-seed robotics startup in Sydney teaching robots behaviors from human demonstrations using imitation and reinforcement learning. Day to day: training and adapting learning algorithms (ACT, Diffusion Policy, VLA), building simulation frameworks, and robot integration software. Remote possible for theory/simulation; Sydney preferred for hardware work.
Field-deployment robotics engineer: travels to client and pilot sites (mainly in Australia) to deploy, integrate, and support robot learning systems, then feeds field insights back into product development. Core stack is ROS/ROS2 and robotics software, with heavy client-facing troubleshooting.
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