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DevOps Engineer - New Grad

Job in Toronto, Ontario, C6A, Canada
Listing for: Cerebras Systems, Inc.
Full Time position
Listed on 2026-07-05
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software, Software Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 70000 - 90000 CAD Yearly CAD 70000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: DevOps Engineer - New Grad 2026

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 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 Cerebrassoftware stack. As a Dev Ops engineer, you will be responsible for designing efficient, scalable workflows for automating processes in the cloud and in our data center. 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:

  • 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.

    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.

    This website or its third‑party tools process personal data. For more details,  to review our CCPA disclosure notice.

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