Full-time | Australia, Sydney preferred | Hybrid
Start your engineering career working on the technology behind AI.
IREN is looking for a curious, motivated Systems Engineer to join our Australia Deployment team. This is a junior opportunity suited to a recent graduate who enjoys solving problems, understanding how things work and learning by doing.
Bring your coding foundations, practical thinking and willingness to learn—we’ll provide guidance from experienced engineers.
IREN is a leading AI cloud service provider. We build, own and operate data centres powered by 100% renewable energy, supporting the growing demand for AI and high-performance computing.
We believe progress should be responsible, sustainable and have a positive impact on the communities where we operate.
Job Requirements
About the role
You’ll help bring large-scale AI computing systems into service, working alongside experienced engineers to set up equipment, test performance and investigate issues.
Reporting to the Manager, Systems Engineering, you’ll build practical skills in Linux, GPU computing, networking and automation. You’ll combine remote collaboration with travel to data-centre sites for deployment and testing activities alongside the team.
What you’ll do
What you’ll bring
Experience with Linux, Python, Git, hardware projects or a home lab would be useful. Exposure to GPUs, cloud platforms or tools such as Kubernetes is a bonus, but isn’t essential.
Why join IREN?
Ready to put your curiosity to work?
Apply now and tell us about a project or problem you’ve tackled—we’d love to hear how you approached it and what you learned.
Start your engineering career working on the technology behind AI.
IREN is looking for a curious, motivated Systems Engineer to join our Australia Deployment team. This is a junior opportunity suited to a recent graduate who enjoys solving problems, understanding how things work and learning by doing.
Bring your coding foundations, practical thinking and willingness to learn—we’ll provide guidance from experienced engineers.
IREN is a leading AI cloud service provider. We build, own and operate data centres powered by 100% renewable energy, supporting the growing demand for AI and high-performance computing.
We believe progress should be responsible, sustainable and have a positive impact on the communities where we operate.
Job Requirements
About the role
You’ll help bring large-scale AI computing systems into service, working alongside experienced engineers to set up equipment, test performance and investigate issues.
Reporting to the Manager, Systems Engineering, you’ll build practical skills in Linux, GPU computing, networking and automation. You’ll combine remote collaboration with travel to data-centre sites for deployment and testing activities alongside the team.
What you’ll do
- Help prepare hardware, check equipment and set up Linux systems.
- Learn how computing systems, networks and storage work together.
- Run system health and performance tests, recording results and flagging unexpected behaviour.
- Gather logs and help the team investigate and resolve issues.
- Write and test small scripts to simplify repetitive tasks.
- Keep clear records and improve instructions so others can learn from your work.
What you’ll bring
- A degree in Computer Science, Software Engineering, Computer Engineering or a related discipline.
- Problem-solving skills demonstrated through university work, personal projects, internships or other practical experience.
- The ability to write and debug code or scripts in at least one language.
- A foundational understanding of operating systems, networking and computer hardware.
- Curiosity, attention to detail and a methodical approach to unfamiliar problems.
- Clear communication, a collaborative attitude and confidence to ask questions.
Experience with Linux, Python, Git, hardware projects or a home lab would be useful. Exposure to GPUs, cloud platforms or tools such as Kubernetes is a bonus, but isn’t essential.
Why join IREN?
- Gain hands-on experience with advanced NVIDIA technology and large-scale AI systems.
- Learn alongside experienced engineers while contributing to real projects.
- Build skills across systems, networking, testing and automation.
- Join a business delivering AI infrastructure powered by renewable energy.
Ready to put your curiosity to work?
Apply now and tell us about a project or problem you’ve tackled—we’d love to hear how you approached it and what you learned.