Research Software Engineering Specialist

OverviewResearch Software Engineering Specialist – University of Auckland.

Join to apply for the Research Software Engineering Specialist role at University of Auckland.

This collaborative role within the Digital Research Innovation & AI group focuses on enhancing researcher capabilities through innovative digital methods.

As a Research Software Engineering Specialist, you will work directly with researchers, providing expertise to ensure the effective use of high-performance computing, data, and AI platforms and services.ResponsibilitiesSupport the development and optimization of reproducible computational workflows (AI, GPU, HPC, cloud) for researchers.Coach and enable researchers to develop essential computational skills and expertise, fostering self-sufficiency in AI, GPU, and HPC platforms.Lead and facilitate workshops and training on research software engineering, HPC, and AI practices.Maintain a high understanding of science goals and emerging developments, sharing this knowledge with research communities.Apply deep curiosity to science and research to understand models and algorithms and provide expert guidance.Note : This is a full-time (37.5 hours / week) permanent opportunity, with a salary range of $115,000 - $135,000 per annum depending on skills and experience.

For more detailed information please visit the Position Description.About the teamDigital Services, a key division within the University, supports learning, teaching, research, and administration, with a cornerstone commitment to security and ethics.

The Digital Research Innovation & AI group focuses on capability development in digital research and AI for research, partnering with research teams to grow researcher skills in applying powerful computational tools and methods.About youWe are seeking a highly curious and collaborative individual who is passionate about supporting and enabling cutting-edge research, particularly within the biological and molecular sciences.

You will thrive on understanding complex scientific problems and translating them into effective computational solutions.A PhD or Master's in a computational field with at least 7 years of related experience in a research-intensive environment providing software engineering and AI support to research teams.Experience designing, developing, or implementing computational packages, analytical pipelines, or research software platforms, including debugging and optimizing software for HPC or GPU systems.Advanced programming skills across scientific, statistical, and AI platforms and parallelisation frameworks, especially Python, R, and Julia.Proven ability to transfer skills and build capability within multidisciplinary teams.Experience with AI for science and related transformative opportunities.Candidates with international experience, those returning from industry, or research technicians in software engineering are encouraged to apply.

If you don't meet all criteria but have relevant strengths, we encourage you to apply.Additional informationWaipapa Taumata Rau | The University of AucklandThe University of Auckland is New Zealand's leading university, employing more than 5,400 academic, research, and professional staff to support over 41,000 students.What we offerThe University offers a stimulating environment that promotes a healthy work-life balance including : Five weeks' annual leave per annum.Up to 6.75% employer superannuation contribution.A 37.5-hour working week and flexible employment practices.Additional parental leave payments and discounted onsite childcare, parking, and various leisure and recreation services.How to applyApplications must be submitted online by 28 September 2025.

Please include your cover letter and CV highlighting how you meet the skills and experiences detailed above.

Contact Lisa Matthews at

• with questions.

We do not accept applications by email.EquityThe University is committed to the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.

For information on services for Maori, Pacific, women, LGBTQI, people with disabilities, parenting support, flexible work, and other personal circumstances go to

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