
Posted 11 hours ago
Research Computing Support Specialist
University of Toronto
Requirements
Bachelor’s degree in Computer Science or related discipline, 5+ years UNIX/Linux system administration experience, Experience with Python programming, Experience with GPU deployment and AI workloads, Experience with application containers and virtualization, Experience with network administration and troubleshooting
Skills
PythonLinuxGPUCloud
About the role
Responsibilities
- Lead and plan complex IT projects, including developing schedules, milestones, and deliverables
- Provide research computing support, system administration, and network administration for the Aspuru-Guzik research group
- Develop, modify, and correct scripts and software, with a heavy focus on Python
- Analyze, troubleshoot, and test highly complex systems and internal network solutions
- Plan and implement new IT systems based on business and operational requirements
- Serve as a technical leader and resource for other specialists and stakeholders
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline
- Minimum 5 years of recent UNIX/Linux system administration experience in a complex IT environment
- Demonstrated experience with Python programming and script development
- Experience with GPU deployment and AI workloads (including LLMs and computational clusters)
- Experience with application containers, virtualization, and network troubleshooting
- Strong leadership skills and the ability to communicate complex technical concepts to non-technical users
Preferred Qualifications
- Experience using High-Performance Computing (HPC) clusters
- Experience working with private and/or public cloud environments
About the Company
The University of Toronto's Department of Computer Science is ranked among the top in the world. We provide diverse research opportunities and produce high-impact research that shapes the future of the field. This role supports the Aspuru-Guzik research group in developing novel workflows for the automated discovery of materials.
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University of Toronto · Toronto
