
DevOps Engineer Intern - PEY
Cerebras Systems8 hours ago
Toronto, CanadaIntern
Responsibilities
- Build and improve automation for software build, test, deployment, and validation workflows across cloud and datacenter environments.
- Develop and maintain CI/CD pipelines supporting software development and testing.
- Create Python and shell scripts and internal tools to automate engineering and operational tasks.
- Use Docker, Kubernetes, and other container technologies to deploy and manage development and testing environments.
- Monitor and troubleshoot the quality and performance of software running on the Wafer Scale Engine.
Requirements
- Be enrolled in a university program pursuing a degree in Computer Science, Computer Engineering, or a related discipline.
- Have experience in software development environments.
- Be proficient in Python, shell scripting, and Makefiles.
- Demonstrate strong end-to-end triage, debugging, and troubleshooting skills.
- Have experience with Jenkins and other CI/CD platforms.
- Have experience with Docker, Kubernetes, and container technologies.
- Have experience building services on AWS or other cloud platforms at scale.
- UI experience is highly desirable.
Benefits
- Opportunity to work on a breakthrough AI platform and one of the world’s fastest AI supercomputers.
- Opportunities to publish and open-source AI research.
- Startup vitality with job stability.
- A simple, non-corporate work culture that respects individual beliefs.
- An environment emphasizing continuous learning, growth, and support.
Tech Stack
Categories
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.