Research Computing Specialist: AI, Cloud & HPC

Marist University; City of Poughkeepsie (NY); On-site; USD 80,000 - 90,000; Full time

Benefits offered by this job

Paid vacation

Sick time

Paid holidays

Health insurance

Retirement plan (403b)

Tuition benefits

Job summary

Marist University’s IT Infrastructure team seeks a Research Computing Technical Specialist to support faculty and students in using advanced computing, data science, and cloud technologies. The role emphasizes growth in research computing, AI, and high-performance computing environments.

The position involves administering research computing environments, collaborating with researchers on objectives, and assisting with software, libraries, and tooling to enable reproducible research and

Qualifications

• Bachelor's degree in CS, data science, or related field.
• 1–3 years of related experience.
• Adaptability in a rapidly changing tech environment.

Responsibilities

• Serve as a technical resource for faculty, students, and staff utilizing research computing services.
• Configure, monitor, and maintain research computing environments including Linux servers and cloud services.
• Support AI and computational research applications with software environments and development tools.
• Assist with lifecycle management of research computing infrastructure and resource planning.

Skills

Adaptability

Communication

Team collaboration

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

Linux systems

IBM zSystems

GPU resources

Cloud services

Job description

Marist University’s IT Infrastructure team seeks a Research Computing Technical Specialist to support faculty and students in using advanced computing, data science, and cloud technologies. The role emphasizes growth in research computing, AI, and high-performance computing environments.

The position involves administering research computing environments, collaborating with researchers on objectives, and assisting with software, libraries, and tooling to enable reproducible research and