Job Information
Massachusetts Institute of Technology Research Computing Support Specialist in Cambridge, Massachusetts
Research Computing Support Specialist
Job Number: 23797
Functional Area: Scientific Computing
Department: Office of Research Computing and Data
School Area: VP Research
Employment Type: Full-time (Hybrid)
Employment Category: Exempt
Visa Sponsorship Available: No
Schedule: M-F
Email a Friend Save Save Apply Now
Job Description
RESEARCH COMPUTING SUPPORT SPECIALIST, Office of Research Computing and Data (ORCD), to assume a hands-on position delivering world-class research computing customer experiences to all MIT researchers. Will be part of a growing central team providing core research computing training and support services and platforms to the entire MIT community; interact directly with researchers and research groups to help resolve and remove their challenges around scaling reproducible digital research and data activities beyond laptop and desktop computing; create testable, repeatable, and maintainable online training material; and participate in the delivery of effective in-person training activities related to productive research computing best practices and skills. A full job description is available here. (https://orcd.mit.edu/about-orcd/jobs)
Job Requirements
REQUIRED: bachelor’s degree and at least five years of relevant programming experience (including with at least one scripting language such as Python, R, or Julia, and/or one compiled language such as C, C++, or Fortran) or nine years of experience in lieu of a degree; willingness and ability to participate in continued personal technical learning and keeping up-to-date with evolving technology; strong interpersonal and written and oral communication skills; ability to work independently and with others; and some understanding of the character of research environments. PREFERRED: some exposure to some modern tools of digital research; comfort working with notebooks, VSCode, bash/Linux, parallel and math libraries, GPU toolchains, or other similar commonly used systems; experience with machine learning stacks and platforms, continuous integration and continuous deployment systems, workflow automations such as Git, and other software productivity tools; and formal or informal teaching or tutoring experience. Job #23797-93/6/24