As a Release Engineer Intern, you'll play a key role in strengthening the infrastructure that supports rapid software delivery for a high-performance AI platform. You'll work directly with build systems, continuous integration pipelines, and deployment tooling, helping to ensure reliable, repeatable releases across a hybrid development environment.
What You’ll Do
- Design and maintain automation scripts to streamline build, test, and deployment processes
- Partner with engineering teams to refine delivery workflows and increase system reliability
- Develop and support monitoring dashboards that provide actionable insights through metrics
- Diagnose and resolve build and release failures, implementing long-term fixes to reduce recurring issues
What We’re Looking For
- Currently pursuing a degree in Computer Science, Engineering, or a related field—or have equivalent hands-on experience
- Proficiency in writing clean, maintainable code in Python or C++
- Experience with CI/CD platforms and containerization technologies such as Docker
- Strong attention to detail, a collaborative mindset, and a drive to automate repetitive tasks
Technology Environment
You’ll work with Python, C++, GitHub, Docker, and internal build systems, contributing to the open-source tt-metal project. Your work will support real-time dashboards, metrics pipelines, and developer-facing tooling in a multi-platform setting.
What You’ll Gain
- Practical experience with modern CI/CD practices in a high-performance computing context
- Exposure to infrastructure automation across hybrid environments
- Training in debugging, incident response, and continuous delivery workflows
- Insight into how open-source development integrates with internal production systems
Work Environment
This is a hybrid role based in Toronto, offering flexibility while maintaining in-person collaboration. The position operates under a competitive compensation package and follows a model that balances on-site and remote work.
The organization is committed to equal opportunity and values curiosity, collaboration, and a shared drive to solve complex technical challenges in AI infrastructure. Due to U.S. export regulations, employment may require eligibility to access controlled technology, which could depend on citizenship, residency status, or government authorization.
