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Added 22 hours ago
M-
Stagiaire de recherche - Sécurité de l'IA / Research Intern - AI Safety
Mila - Institut québécois d'intelligence artificielle
Remote, Canada
- Temporary
- Remote
Identify applied research opportunities stemming from prototypes and user feedback.
Added 19 days ago
CS
DevOps Engineer Intern - PEY
Cerebras Systems
Remote, Canada
- Internship
- Remote
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…
Added 3 months ago
K
Content Writer (Intern)
KorrAI
Remote, Canada
- $30,000 to $60,000 USD / year
- Internship
- Remote
We're looking for a Content Writing Intern who can translate AI, deep-tech, geospatial, and geotechnical concepts into clear, compelling content. Both internal and user-facing.
Added 3 months ago
M
UX/UI Designer Intern
magpylabs
Remote, Canada
- Full-time
- Remote
Run lightweight user research and turn what you learn into concrete design improvements.
Added 4 months ago
F
AI Product Design Intern 🖌️ 100% Remote Internship
Fini
Remote, Canada
- Remote
Fini is looking for an eager junior AI native, UI/UX product designer who can drive the process of creating ruthlessly user-focused and compelling product designs for our iOS mobile…
Added 4 months ago
MA
AI Intern / AI Engineer
Metry AI
Remote, Canada
- Remote
We care more about mindset than years of experience. You’ll fit right in if you:
Added 5 months ago
C
Software Engineer Intern (Winter 2027)
Cohere
Remote, Canada
- Internship
- Remote
…Full-stack, and Infrastructure roles. We'll take your interests & experience into account throughout the application…

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Cerebras Systems

DevOps Engineer Intern - PEY

Remote, Canada

Remote

Internship

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Job details

Job type: Internship
Workplace: Remote
Posting language: English
Posted: Sep 14, 2026

Original job 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:

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.

Responsibilities

Build and improve automation for software build, test, deployment, and validation workflows across cloud and datacenter environments.

Develop and maintain CI/CD pipelines that support fast, reliable software development and testing.

Create scripts and internal tools in Python and shell to automate repetitive engineering and operational tasks.

Work with Docker, Kubernetes, and other container technologies to deploy and manage development and testing environments.

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:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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More about this job

Responsibilities

You will develop and maintain infrastructure to build, test, and deploy the Cerebras software stack across cloud and datacenter environments. Additionally, you will create automation scripts and manage containerized workflows to support the performance of the Wafer Scale Engine.

Requirements

Candidates must be enrolled in a university program for Computer Science, Computer Engineering, or a related discipline. Proficiency in Python, shell scripting, and experience with CI/CD platforms and container technologies like Docker and Kubernetes are required.

Skills

Python
Shell Scripting
Makefiles
Docker
Kubernetes
Jenkins
CI/CD
AWS
Cloud Computing
Automation
Triage
Debugging
Troubleshooting
Software Development
Infrastructure Management

Visa sponsorship

Not detected in the job text

Keywords

DevOps
AI
Chip Architecture
Cloud Infrastructure
Datacenter
CI/CD
Python
Shell Scripting
Makefiles
Docker
Kubernetes
Jenkins
AWS
Automation
Software Engineering
Wafer Scale Engine
Inference
Training
Containerization
Triage
Debugging
Software Stack
Engineering
Cloud Platforms

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Remote jobs in Canada

Stagiaire de recherche - Sécurité de l'IA / Research Intern - AI Safety

DevOps Engineer Intern - PEY

Content Writer (Intern)

UX/UI Designer Intern

AI Product Design Intern 🖌️ 100% Remote Internship

AI Intern / AI Engineer

Software Engineer Intern (Winter 2027)