The role

We're looking for Robotics Systems Engineers who thrive in real-world deployment environments. You're energized by working on-site with pilot partners and clients, love the challenge of making robots work reliably in production settings, and enjoy being the bridge between cutting-edge technology and practical implementation.

You'll need solid experience with ROS and robotics software stacks, strong troubleshooting and problem-solving skills, and the ability to work independently in client environments. Good communication skills are essential—you'll be gathering requirements, understanding client needs, and translating between technical capabilities and business goals. The core of this role has two parts: first, traveling to client sites to deploy and integrate our robot learning systems into their operations and providing technical support during initial deployment phases. Second, taking those field insights back to develop and refine our systems—improving deployment processes, enhancing robustness based on what you've learned at pilot sites, and feeding real-world challenges directly into our technical roadmap.

When not in the field, you'll contribute to systems development and integration work, help refine our deployment processes and tools based on field experience, develop documentation and best practices for deployments, and work closely with our engineering team to feed real-world challenges back into our R&D.; This role requires willingness to engage regularly with clients and pilot partners on-site across Australia and potentially internationally.

About Imitation Machines





Imitation Machines has an ambitious goal of bringing the latest advances in Imitation and Reinforcement Learning, Robotics and AI into an integrated platform that enables anyone in the world to create robot recent and custom behaviours.

Imagine the state of future technology where anyone can teach any robot, by demonstration, to solve any task they need, and create intelligent robotic workforce that meets unique needs across industries, robot forms, and environments. We want this future to happen. We see that all the necessary technological prerequisites are in place, and we're building that future. The readiness of reinforcement learning, imitation learning, and robot hardware has reached a tipping point, positioning Imitation Machines to transform how robot behaviours are created. Rather than relying on conventional programming, we can radically accelerate the process and start building systems where robots are taught by human teachers through demonstration.

We're taking a practice-first approach: real-world robot deployments with our industry partners guide our research and development. By working directly with industries, robot developers, and system integrators,



we position ourselves at the frontier of practical imitation learning—tackling the challenges that emerge when these technologies meet real applications. This makes us early integrators of imitation learning in production environments, and it's how we're paving the way for broader adoption of robotic automation.

Imitation Machines is a pre-seed funded startup moving quickly toward our next milestone. We're laser-focused on proving our vision and building a team of machines learning and robotics engineers who want to push the boundaries of what's possible in robot learning.

What we’re looking for

- Solid experience with ROS/ROS2 and robotics software stacks

- Strong troubleshooting skills and ability to diagnose issues in real-world conditions

- Experience deploying physical robotics systems

- Good communication skills – comfortable working with clients and gathering requirements

- Practical understanding of robot integration and system configuration

- Self-driven, hands-on mentality – thriving in dynamic environments, solving problems on the fly, and making things work in the real world

Position details

Level: Entry to mid-level
Type: Full-time
Location: Varies depending on the pilot partner site. Currently we are most interested in candidates based in Sydney and Perth, but this might change, so we're talking to candidates across Australia.
Compensation: As an early-stage startup, we can't always match big tech salaries. What we can offer is the opportunity to work on genuinely hard problems in robot learning, significant autonomy in shaping our technical approach, and the chance to build something from the ground up.
Primary location: Sydney, Australia

📌 Robotics Systems Engineer - Field Deployment and Integration — Filled · Accepting expressions of interest (Sydney)
🏢 Imitation Machines
📍 Sydney