Job No.: 686114

Location: Clayton campus

Employment Type: Full-time

Duration: 3 year fixed-term appointment

Remuneration: $140,157 - $148,769 pa HEW Level 09 (plus 17% employer superannuation) although a competitive remuneration package can be applied for an experienced candidate

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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 Senior AI Research Computing Engineers to play a pivotal technical leadership role in bringing this vision to life. In this position, you will act as the critical link between ambitious research goals and the powerful computing systems that enable them. You will architect, implement, and support the distributed AI platforms that form the foundation of MAVERIC’s mission, empowering researchers to push the limits of generative AI, computational science, and cross-disciplinary innovation.

This role suits someone who excels at the intersection of software engineering, high-performance computing, and applied artificial intelligence. You'll work very closely with researchers to translate and accelerate their research using AI, turning complex scientific challenges into breakthrough computational solutions.

Key Responsibilities

Partner with researchers across diverse domains (drug discovery, healthcare, computer vision, and beyond) to translate scientific goals into scalable AI/ML solutions
Architect and optimise sophisticated AI models for high performance computing (HPC) environments, implementing distributed training strategies and performance tuning at scale
Lead development of automated MLOps pipelines using containerisation, orchestration platforms, and CI/CD practices.
Benchmark, profile, and optimise AI applications across software and hardware layers to maximise GPU cluster efficiency
Build research community capability through expert consultation, training programs, and technical documentation.
Evaluate and apply emerging AI/ML technologies to novel research problems.

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Senior AI Research Computing Engineer