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$80k – $232k per year (Estimated)
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Remote/Hybrid (Toronto, Canada)
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Cerebras Systems is an American computer hardware company founded in 2016 and headquartered in Sunnyvale, California that builds accelerators for artificial intelligence at wafer scale. Instead of assembling clusters from many small chips, it manufactures a single processor the size of an entire silicon wafer, the Wafer Scale Engine, which removes most of the communication overhead in large model training and inference. The company sells CS-series systems to research laboratories and enterprises, operates its own inference cloud known for very high token throughput, and has built large supercomputers with partners including the Gulf technology group G42.

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.

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

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