DevOps Engineer - New Grad 2026
- Compensation
- Not disclosed
- Location
- Toronto, CAN
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Enrolled in a University program with a degree in Computer Science, Computer Engineering, or other related disciplines.
- Experience in software development environments.
- Proficient in Python, shell scripting, 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 in general.
- Experience building services on top of AWS or other cloud platforms at scale.
- UI experience highly desirable.
Full description
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
As a New Graduate Software Engineer, you will collaborate with world-class engineers to solve real-world challenges across the software stack. You will contribute to software systems that directly impact performance, scalability, reliability, and usability of next-generation AI infrastructure.
You will gain hands-on experience working across multiple layers of a fully integrated AI-accelerated system, including advanced hardware interfaces, low-level infrastructure, distributed systems, compilers, and ML frameworks.
Responsibilities
You will develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack. As a DevOps engineer, you will be responsible for designing efficient, scalable workflows for automating processes in the cloud and in our datacenter. You will work closely with the development and product management teams to monitor the quality and performance of the software that runs on the Wafer Scale Engine (WSE), the world’s largest and fastest AI computer.
Required Qualifications
- Enrolled in a University program with a degree in Computer Science, Computer Engineering, or other related disciplines.
- Experience in software development environments.
- Proficient in Python, shell scripting, 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 in general.
- Experience building services on top of AWS or other cloud platforms at scale.
- UI experience highly desirable.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: