DevOps Engineer - New Grad 2026
Cerebras Systems4 months ago
Toronto, CanadaEntry Level
Responsibilities
- Develop and maintain infrastructure for building, testing, operating, simulating, and evaluating the Cerebras software stack.
- Design efficient and scalable process-automation workflows across cloud and datacenter environments.
- Collaborate with development and product management teams to monitor software quality and performance.
- Troubleshoot and debug systems running on the Cerebras 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 at scale on AWS or other cloud platforms.
- 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, job stability, and a non-corporate work culture.
- Continuous learning, growth, and team support.
- Cerebras is committed to an equal and diverse work environment.
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.