Do IT Now
Summer Internship 2025

Job Definition.

Do IT Now is looking for talented Bachelor’s, Master’s, PhD, and postdoc graduate students ready to challenge themselves to apply for the 2025/2026 Summer Internship Program, to learn from our international High-Performance Computing and Artificial Intelligence team. These programs also suit recent bachelor’s, master’s and PhD graduates in science, technology, or engineering to apply their qualifications to a relevant HPC and AI role. We work in sectors like drug design and discovery, genomics, bioinformatics, aerospace, aeronautics, astrophysics, quantum chemistry, energy, automotive, visual effects, and many more. This paid internship will run approximately from mid-November through late-February (dependent on the exam timetable of the successful applicant), excluding the two-week summer holiday period from 22nd December to 4th January.  

CORE VALUES.

Science Enablers.

We are crucial in migrating workloads from the desktop computer to HPC clusters and supercomputers. We work to bridge the gap between these two distant worlds by capacitating the end users and upskilling them to bring their computational research to a world-class level.

Excellence.

We strive for excellence in everything we do for our team members and clients. We feel proud of our contributions and celebrate our client’s success as our own.

Empowering science with technology.

We are a trusted partner that accelerates research and discovery thanks to our commitment to continuous innovation and new technology adoption.

Diversity and Inclusion.

Our talented team includes different mindsets, cultures, backgrounds, and experiences, making Do IT Now an inclusive company. Do IT Now embraces neurodiversity and is committed to an inclusive and respectful workplace where everyone is valued for their unique contribution. Our current team is from eight 

different countries and can speak ten other languages, but most importantly, we all speak science and tech no matter our background.

Gender equality.

While we haven’t reached full gender equality yet, we see a new opportunity to get closer to that milestone in each hiring process. We are proud Women in HPC (WHPC) members, and we participate in activities to empower women in STEM (science, technology, engineering, and mathematics).

Qualification.

We’re looking for exceptional Science, Engineering, or Computer Science students ready to give their best to this summer internship program. Specifically, we’re looking for:
  • Graduates who have recently completed a Bachelor’s, Master’s, PhD, and postdoc.
  • Bachelor’s, Master’s, PhD, and postdoc students who will complete their degree in 2026.

The Program.

This Program offers students a paid internship focused on building skills and experience in computational science and research projects.

During the Program, interns will work alongside national and/or international supervisors and collaborators.

Interns will also learn from Do IT Now staff about best practices of configuring and using HPC resources, code development methods, scientific communication techniques, and more.

The Internship program includes (virtual) induction training courses. Through these courses, interns can learn more about supercomputing, artificial intelligence, installing HPC and AI clusters, installing HPC applications, performance analysis tools, best practices to improve the efficiency and performance of scientific applications, development of complex workflows, and popular tools and methods for contributing to open-source projects.

Applicants will be assessed on several criteria, including matching their skills to specific project skills.

Duration & Pay.

The paid Summer Internship Program lasts for 400 hours over 10 to 12 weeks.

Requirements.

  • Be legally permitted to work in New Zealand or Australia.
  • Based in Auckland, Wellington, or Perth.
  • Full professional proficiency in English.
  • Experience using Linux CLI is a must.
  • Availability to participate from mid-November through to mid-February (2025–2026).
  • Exposure to HPC or supercomputing is not required, but it is desired for computational scientist candidates.
  • Exposure to Linux administration is a must for System Administrator and Computer Scientist candidates.

 

Job Conditions.

  • Good working environment with a highly stimulating and challenging atmosphere.
  • Full-time remote office based in New Zealand or Australia.
  • Possibility of meeting our team in our shared offices in Auckland, Wellington, or Perth.
  • 37.5 hours per week and flexible working hours.
  • Part-time options are also available for students.
  • We offer outstanding resources for learning and building experience with new technologies,  including internal development and testing clusters, access to an e-learning platform, internal training, and mentoring.

Specific project work may include

  • Benchmarking HPC applications across CPU and GPU platforms.
  • Supporting AI workflows such as model training, fine-tuning, and inference on HPC clusters.
  • Assisting with system monitoring and observability using tools like Prometheus and Grafana.
  • Contributing to automation and Infrastructure-as-Code (IaC) pipelines for HPC/AI environments.
  • Preparing technical documentation, solution guides, and knowledge-sharing material for clients and internal teams.

Why choose our interniship

  • Hands-on Experience: Apply the skills from your studies in real HPC and AI consulting projects. Work alongside experts to gain insights and experience that will set you apart in your career.
  • Mentorship and Coaching: Our team will mentor and guide you throughout the internship, helping you grow both technically and professionally.
  • Collaborative Environment: Join a dynamic, international consulting team where collaboration and knowledge-sharing are central.

 

Career Path: Possibility to join our team after the internship program is completed.

APPLY.

If you are interested, please complete one of the following two forms:

  • Form for systems engineer candidates.
  • Form for computational scientist candidates.