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