Senior Full Stack Engineer

697511

Clayton campus

Full-time

2-year fixed-term appointment

$110,527 - $121,227 pa HEW Level 07 (plus 17% employer superannuation) •

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The

is the premier track and vehicle research centre in Australia and an internationally recognised leader in railway engineering solutions. 100% industry-funded through contractual work with over 150 global client organisations, IRT translates cutting-edge applied research into real-world industrial impact. We are seeking a

to join IRT's Innovation Team. In this role, you will lead the research, development, deployment, and management of software platforms and AI models powered by smart sensors across rolling stock and track systems. You will play a pivotal role in creating client-facing applications and real-time decision-support tools that convert complex sensor data into actionable insights for railway operators.

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Design, build, and deploy end-to-end AI applications, backend APIs, data pipelines, and user interfaces that enable data visualisation, analysis, and decision-making from condition monitoring systems. •

Deploy AI, computer vision, laser profiling, LiDAR, and camera-based systems on edge devices operating under constrained resources or intermittent connectivity. •

Implement advanced real-time data processing techniques, sensor fusion (multimodal data including inertial, LiDAR, radar, and imaging), parallel processing, multithreading, and GPU/distributed computing. •

Establish mature product development practices, including CI/CD automation, software architecture standards, testing protocols, data traceability, and model confidence metrics. •

Lead assigned project scopes and technical deliverables to ensure completion within budget and timeline while building strong relationships with clients and industry partners. •

Provide expert technical support during system commissioning, deployment, and operational troubleshooting, including occasional travel for site visits.

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A Bachelor's degree in Engineering with relevant subsequent experience, postgraduate qualifications, or an equivalent combination of education, training, and experience. •

Demonstrated expertise in end-to-end software development, including backend services, APIs, databases, front-end interfaces, and tools such as

,

,

,

, and

. •

Proven experience with computer vision systems, machine learning workflows, MLOps, and edge processing optimisation. •

Hands-on experience ingesting, filtering, and preprocessing multimodal sensor data (e.g., LiDAR, radar, inertial, imaging). •

Excellent analytical problem-solving skills, with a track record of managing technical project deadlines and communicating complex technical concepts to diverse stakeholders. •

Flexibility to travel within Australia and overseas, perform field work/out-of-hours shifts as required, and satisfy pre-employment railway medical and drug screenings

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 .

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.

Dr. Nithurshan Nadarajah, Deputy Director - Innovation, nithurshan.nadarajah@monash.edu

Senior Full Stack Engineer

Tuesday 27 October at 11:55pm AEDT