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Added 1 month ago
U
AI/ Prompt Developer
UST
Montreal, QC
- Full-time
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI.
Added 1 month ago
KD
Stagiaire LEAP hiver 2027 – Excellence opérationnelle VHCS | Winter 2027 LEAP Intern – VHCS Operational Excellence
Keurig Dr Pepper
Montreal, QC
- Full-time
Compétences de base en analyse de données requises; la connaissance de SQL, Python, des systèmes ERP/WMS, de Power BI, Tableau ou Looker est considérée comme un atout.
Added 1 month ago
E
Services Professional (Early Career)
Ericsson
Toronto, ON
- Full-time
We are building a next-generation engineering and operations ecosystem where AI serves as a collaborative tool - supporting teams in designing, building, testing, and running large-scale…
Added 1 month ago
Q
Design Verification Engineer, Senior Staff
Qualcomm
Toronto, ON
- Full-time
Engineering Group, Engineering Group > ASICS Engineering
Added 1 month ago
D
Cloud, Automation & AI Engineer Consultant
Deloitte
Toronto, ON
- Full-time
This role offers exposure to cloud transformation, infrastructure automation, DevOps practices, platform engineering, cybersecurity, application modernization, data platforms, and emerging…
Added 1 month ago
J
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Technical skills such as coding (Python/R), data modeling, and database management (SQL)
Added 1 month ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
8+ years of experience in Machine Learning, AI, Software Engineering, Data Science, or Solution Architecture.
Added 1 month ago
CC
Product Manager – Agile Mobile & Digital Credential Solutions (Kotlin, Swift, React Native, Node.js, Go, Python)
CCI- Computer Consultants International, Inc.
Toronto, ON
- Contract
Drive collaborative working sessions, design sprints, and alignment workshops across product, engineering, UX, DevOps, and policy teams.
Added 1 month ago
AA
Software Developer IV, Data
ACV Auctions
Toronto, ON
- Full-time
We are looking for an exceptional Senior Software Developer to join our Platform Engineering group, focusing on the VIN Decoder platform. The position will focus on backend development, AWS…
Added 1 month ago
X
Photonics Lab Technician
Xanadu
Toronto, ON
- Full-time
BSc (or higher) in Engineering, Science, or related relevant field.
Added 2 months ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.
Added 1 month ago
C
Crypto Engineer (Contract)
Capco
Toronto, ON
- Full-time
As a Contract Crypto Engineer at Capco, you’ll design, develop, and support cryptographic solutions that protect data at rest and in transit across complex enterprise environments.
Added 1 month ago
RI
Data Scientist
Remarcable, Inc.
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
As our Data Scientist, you'll partner closely with Data Engineering to design and build out our data lakehouse, bringing data from across the business into one place to power in-platform…
Added 1 month ago
T
LEO Satellite Operations Engineering Specialist
Telesat
Ottawa, ON
- Full-time
As a member of the LEO Satellite Operations team, the LEO Satellite Operations Engineering Specialist will provide technical leadership for engineering aspects related to ensuring effective…
Added 1 month ago
J
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large Language Models into their…
Added 1 month ago
J
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
- Full-time
- Part-time
Continuously improve agent performance using real-world feedback and data
Added 1 month ago
J
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Work closely with product and engineering teams to translate ambiguous user needs into structured instructions that LLMs can follow reliably
Added 1 month ago
T
Senior Founding Engineer, Backend
Tyce
Toronto, ON
- Full-time
We're building a product engineering team we believe can run a company worth a billion dollars. Competitive salary and equity.
Added 1 month ago
CS
DevOps Engineer Intern - PEY
Cerebras Systems
Remote, Canada
- Internship
- Remote
Create scripts and internal tools in Python and shell to automate repetitive engineering and operational tasks.
Added 1 month ago
S
Senior Analyst, Geographic Information System (GIS)
SYSTRA
Montreal, QC
- Full-time
Automate GIS workflows and data processing tasks using Python (ArcPy), FME, and Power Automate to streamline repetitive processes, improve efficiency, and reduce project delivery timelines.
Added 1 month ago
Software Engineer, Intern (Summer 2027) - TOR
DoorDash Canada
Toronto, ON
…looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of…
Added 1 month ago
CC
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
- Full-time
Write clean, highly-optimized, and thoroughly-tested code in Python. Mentor junior engineers on best practices for both software engineering and the unique challenges of machine learning…
Added 1 month ago
JG
Gen AI Developer
J&M Group
Halifax, NS
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 1 month ago
MS
Software Developer in Test II
Motorola Solutions
Vancouver, BC
- Full-time
…features to our products - we are pioneering an AI-First software engineering culture. From advanced, award-winning video analytics like Appearance Search and Visual Alerts, we architect…
Added 1 month ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
…to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production reality, or a seasoned practitioner who recognizes that…

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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