An exciting opportunity for an ambitious early-career engineer to join a rapidly growing AI infrastructure business, working at the forefront of High-Performance Computing (HPC), AI and large-scale computing infrastructure.

This role is ideal for someone with a strong academic background in Computer Science, IT, Engineering or a related discipline, excellent Linux skills and at least 2 years of hands-on engineering experience.

You will work alongside experienced engineers designing, deploying and supporting advanced HPC environments, gaining exposure to large-scale GPU infrastructure, AI workloads and distributed computing.

The Roles

- Support the deployment, configuration and ongoing operation of large-scale HPC infrastructure.
- Assist with the management and optimisation of Linux-based systems and compute clusters.
- Work with technologies including Kubernetes, Slurm and distributed computing platforms.
- Troubleshoot complex system and infrastructure issues, helping maintain performance, reliability and availability.
- Support the integration of hardware, software and cluster management platforms.
- Contribute to automation, monitoring, documentation and continuous improvement initiatives.
- Collaborate with experienced engineering teams across HPC, AI infrastructure and data centre operations.

Desired Qualifications





- Bachelor's degree in Computer Science, Information Technology, Software Engineering or a related technical discipline.
- Strong academic record, with a demonstrated history of academic achievement throughout university.
- Minimum 2+ years of professional engineering experience in systems engineering, Linux engineering, infrastructure, HPC or a closely related field.
- Strong hands-on Linux administration and troubleshooting skills.
- Solid understanding of operating systems, computer architecture, networking and infrastructure fundamentals.
- Exposure to scripting or automation using Python, Bash or similar languages.
- Familiarity with Kubernetes, Slurm, Docker or other containerisation and workload management technologies is advantageous.
- An interest in High-Performance Computing, GPU infrastructure, AI/ML workloads and distributed systems.
- Strong analytical and problem-solving skills, with the ability to learn quickly and work collaboratively.
- Excellent communication skills and a proactive approach to tackling technical challenges.

An outstanding chance for a technically curious engineer with strong academic foundations who wants to develop their career in one of the fastest-growing areas of technology. There is no option for sponsorship.

📌 Associate HPC Systems Engineer (AI Infrastructure) x3 (Sydney)
🏢 Capital Executive Search
📍 Sydney