Robotics Scientist

Maincode is an AI research and engineering company and home to Matilda, Australia’s first and only large language model trained from scratch. We operate our own advanced AI infrastructure in local data-centres; designing, building, and running everything from the racks up through model training and serving systems.

We’re building an AI Model Factory, a new kind of compute infrastructure that powers frontier AI research and production systems that work at scale.

Despite the title, this role isn’t really about robotics. We’re looking for something that doesn’t quite exist in the market: an AI Model Factory Architect.

This role sits at the intersection of physical systems, large-scale compute, and AI research. You’ll help design and operate the infrastructure that trains large-scale models: racks of GPUs, high-performance networks, and the orchestration systems that keep them running.

People with strong research instincts and systems thinking thrive here. You don’t need prior experience in the datacentre; curiosity, first-principles reasoning, and the ability to learn fast matter more. Someone from robotics, aerospace, or similar fields who has strong computational skills could excel in this role. We’ll give you the time, mentorship, and resources to master how these systems work, and you’ll develop expertise in one of the most essential technical domains of the coming decade.

• Learn to design, deploy, and operate the backbone of AI infrastructure.

• Work with GPU clusters, high-speed networking, and large-scale Linux systems.

• Contribute to the architecture of Australia’s first production-scale AI datacentre systems.

• Collaborate with AI researchers and engineers to shape the next generation of model training environments.

• Develop new operational and architectural approaches from first principles.

• You have a background in a technical or scientific field (robotics, mechatronics, aerospace, physics, or similar) and strong computational skills (e.g., modelling, numerical simulation, automation, MPI or HPC environments, GPU and accelerator programming, systems programming, or Linux).

• You enjoy understanding complex systems from first principles.

• You learn new technologies fast and apply them independently.

• You think in terms of system architecture, how components interact and scale.

• You’re curious about how AI actually runs, from circuits and cooling to training loops.