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Cerebras

AI accelerator hardware replacing GPUs

DevOps Engineer New Grad

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listed

About the Job

Requirements

  • Currently enrolled in a university program pursuing a degree in Computer Science, Computer Engineering, or another related discipline.
  • Experience working in software development environments.
  • Proficiency in Python, shell scripting, and Makefiles.
  • Strong end-to-end triage, debugging, and troubleshooting skills.
  • Experience with Jenkins and other continuous integration and continuous delivery platforms.
  • Experience with Docker, Kubernetes, and container technology generally.
  • Experience building services at scale on Amazon Web Services or other cloud platforms.

Responsibilities

  • Develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack.
  • Design efficient, scalable workflows to automate processes in the cloud and in the datacenter.
  • Work closely with development and product management teams to monitor the quality and performance of software running on the Wafer Scale Engine.

Desired Qualifications

  • User interface experience.

About the Company

Cerebras

AI accelerator hardware replacing GPUs

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company size
501-1,000
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2016

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