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Senior research computing engineer (clayton)

Monash University
Posted: 3 October
Offer description

The Opportunity

Monash University is developing MAVERIC (Monash Advanced Workplace for Research and Intelligent Computing) — Australia’s first AI-focused supercomputer in higher education. This investment will power next-generation AI and data-intensive research projects in areas such as health, climate science, bioinformatics, and advanced engineering, while operating entirely on renewable energy and preserving data sovereignty within Australia.

As we build and bring MAVERIC into operation, we’re seeking a top-tier Senior Research Computing Engineer to ensure our infrastructure meets the high demands of AI-enabled research across the university.

In this role you will:

- Provide expert onboarding and technical support for researchers using HPC and AI clusters.
- Manage and maintain Linux-based HPC systems, ensuring reliability, scalability, and security.
- Support containerised environments (e.g., Kubernetes) for reproducible research workflows.
- Support Optimising GPU-accelerated workloads (e.g., PyTorch, TensorFlow), including multi-GPU scaling and distributed training.
- Develop training materials, documentation, and best-practice guides to build researcher capability.
- Analyse system usage and performance, implementing optimisations to improve efficiency and user experience.
- Ensure robust governance of data, access controls, and cybersecurity protocols.

We are looking for candidates with:

- A degree in Computer Science, IT, Engineering or equivalent, and/or significant professional experience.
- Deep expertise in Linux system administration, performance tuning, troubleshooting, automation, and security hardening.
- Strong programming/scripting skills in Python, Bash or similar.
- Proven experience supporting researchers in HPC/AI, cloud or large-scale computing environments.
- Excellent stakeholder engagement and communication skills, with the ability to collaborate across diverse user groups.
- Strong problem-solving skills and a commitment to documentation, reproducibility, and continuous improvement.

Experience in university IT operations or research environments will be highly regarded.

About Monash University

At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen.

We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.

Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.

In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.

Learn more about Monash.

Today, we have the momentum to create the future we need for generations to come. Accelerate your change here.

Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.

To Apply

For instructions on how to apply, please refer to 'How to apply for Monash Jobs'.

Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.

We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion.

Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.

Enquiries: Joseph Pineda, Infrastructure Delivery Lead, joseph.pineda@monash.edu

Position Description: Senior Research Computing Engineer

Applications Close: Thursday 16 October 2025, 11:55pm AEDT

Supporting a diverse workforce

📌 Senior Research Computing Engineer
🏢 Monash University
📍 Clayton

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