DevOps Engineer - New Grad 2026
Cerebras · Toronto, CAN
CHECKED 8H AGO
Infrastructureremoteentry-level
At a glance
Highlights
- Build infrastructure to test and operate software on world's largest AI chip
- Help scale ultra-fast inference transforming real-time AI applications
- Collaborate across full stack from hardware interfaces to ML frameworks
Ideal candidate
Recent CS graduate who loves debugging end-to-end systems and automating workflows. Excited by AI hardware and eager to learn across distributed systems in a fast-moving team.
Requirements
- Enrolled in a university program in Computer Science, Computer Engineering or related discipline
- Experience in software development environments
- Proficient in Python, shell scripting and Makefiles
- Strong end-to-end triage, debug and troubleshooting skills
- Experience with Jenkins and other CI/CD platforms
- Experience with Docker, Kubernetes and container technology
- Experience building services on AWS or other cloud platforms at scale
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed