Infrastructure

2022-2023 | 2021-2022 | 2020-2021 | 2019-2020

Infrastructure

The Infrastructure team is responsible for maintaining the club website (and its generator), compute cluster (coming soon), the Google Drive databases, Discord, and other technical platforms.

Hugo (Hugo) Ku
VP Infrastructure
Robert (Rupert) Wu
Consultant
Haoze (Kevin) Deng
Developer
Qi Jia (Annie) Gao
Developer
Zhan (Jenna) Lu
Developer
Junjie (Percy) Wang
Developer

Open Positions

Cloud Developer, Open Source Team, Infrastructure

This year, we are hiring for a new team – the Open Source Team. Collaborating with IEEE UofT Branch, this team is focused on improving the cloud infrastructure that most modern applications are built on top of. You will have the opportunity to contribute to industry standard software projects which are developed by developers at companies such as Google, Red Hat, AWS, and Microsoft.

As part of the Cloud team, you will be expected to participate in our two main initiatives:

Contribute to large open source cloud infrastructure projects (for example Knative, Kserve, Kubernetes) as part of a team and in collaboration with IEEE UofT. Assist in planning and executing a series of cloud/open source workshops in collaboration with IEEE UofT.

ML Developer, Open Source Team, Infrastructure

This year, we are hiring for a new team – the Open Source Team. Collaborating with IEEE UofT Branch, this team is focused on improving the ML infrastructure that AI/ML models are built on top of. You will have the opportunity to contribute to industry standard software projects which are developed by developers at companies such as Google, Red Hat, AWS, and Microsoft.

As part of the ML team, you will be expected to participate in our two main initiatives:

Contribute to large open source ML infrastructure projects (for example PyTorch) as part of a team and in collaboration with IEEE UofT. Assist in planning and executing a series of open source workshops in collaboration with IEEE UofT.

  • Requirements: The ideal candidate should have prior experience using ML libraries such as PyTorch or Tensorflow. Understanding of the math behind ML is a plus Experience in C/C++ is a plus
  • Instructions: Recruitment form
  • Application Due: Monday, September 25, 2023