Senior Research Computing Engineer

Job Details Job No.: Location: Clayton campus Employment Type: Full-time Duration: Fixed-term appointment until 31 October 2027 Remuneration: $120,138 - $132,610 pa HEW Level 08 (plus 17% employer superannuation), although a competitive remuneration package can be applied for an experienced candidate Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas – and the people who discover them The Opportunity Project MAVERIC is a Monash‑led initiative pioneering the next generation of AI‑driven research infrastructure. Its mission is to accelerate discovery in addressing some of humanity’s most pressing challenges, from combating disease to advancing environmental science. By uniting high‑performance computing, large‑scale data systems, and cutting‑edge AI infrastructure, MAVERIC is redefining how researchers develop, train, and scale artificial intelligence to solve complex real‑world problems. We are seeking a Senior Research Computing Engineer who serves as the technical bridge between research teams and the high‑performance infrastructure that drives their discoveries. You are the hands‑on technical partner to MAVERC users, guiding them in harnessing the full power of the platform for their workloads. Working at the intersection of infrastructure engineering and user enablement, this role suits someone who is comfortable in helping onboard researchers, ensuring they can confidently and effectively use the supercomputing environment, while ensuring the infrastructure performs seamlessly behind the scenes. Responsibilities Work closely with researchers to understand their AI, simulation, and data‑intensive workloads (e.g., PyTorch, TensorFlow), guiding them from concept to execution on high‑performance, GPU‑accelerated infrastructure Leverage deep Linux system expertise to troubleshoot complex performance issues across compute, storage, and networking layers in multi‑tenant clusters Support and optimize Kubernetes‑based environments that enable scalable, secure, and efficient distributed training and analytics workflows Train and mentor research teams in best practices for using supercomputing resources, containers, and data pipelines, making advanced infrastructure accessible and intuitive Collaborate across platform, security, and data teams to continuously enhance reliability, automation, and observability, ensuring the platform evolves with cutting‑edge AI and scientific innovation Qualifications 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, preferably in Kubernetes environment Proven experience supporting non‑technical stakeholders in cloud or large‑scale computing environments. Experience with HPC environment or similar cloud services (e.g. AWS Parallel Cluster) is preferable Strong software development experience (e.g. Python, C, Golang or similar) Excellent stakeholder communication skills, with the ability to collaborate across diverse user groups and conduct training 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 groundbreaking – 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. Work Arrangements 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. How to Apply For instructions on how to apply, please refer to ‘How to apply for Monash Jobs’ . EEO Statement 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 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. Contact Enquiries: Joseph Pineda, Infrastructure Delivery Lead, Applications Close Thursday 11 December 2025, 11:55pm AEST #J-18808-Ljbffr