At a Glance
- Tasks: Manage and optimize the world's largest AI compute clusters for cutting-edge projects.
- Company: Cerebras Systems, a leader in AI technology with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a strong emphasis on collaboration and career advancement.
- Why this job: Join a fast-paced team and work on groundbreaking AI initiatives that shape the future.
- Qualifications: Expertise in Linux, Docker/Kubernetes, and experience with monitoring and automation.
The predicted salary is between 121500 - 148500 $ per year.
Cerebras Systems seeks an AI Cluster Operations Engineer to manage the world's largest AI compute clusters, including the Wafer-Scale Engine.
You will ensure health, performance, and availability of infrastructure, maximize capacity, and support AI initiatives.
The role requires Linux expertise, Docker/Kubernetes, and experience with monitoring, automation, and distributed systems.
You will work with a fast-paced, on-call team to deliver reliable, scalable platforms for cutting-edge AI workloads.
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Senior AI Compute Cluster Operations Engineer in Toronto employer: Cerebras
Cerebras Systems is an exceptional employer for those passionate about advancing AI technology, offering a unique opportunity to work on the world's largest AI chip in a dynamic and innovative environment. With a strong emphasis on employee growth, a non-corporate culture that values individual beliefs, and the chance to contribute to groundbreaking projects alongside leading enterprises and startups, Cerebras fosters a collaborative atmosphere where engineers can thrive and make a meaningful impact. Join us to be part of a team that not only pushes the boundaries of AI but also prioritizes job stability and continuous learning.
