At a Glance
- Tasks: Automate cloud infrastructure and design large-scale AI workloads using Kubernetes.
- Company: Cerebras Systems, a leader in AI infrastructure innovation.
- Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience with Kubernetes, Go/Python, and cloud infrastructure.
The predicted salary is between 98550 - 120450 $ per year.
Cerebras Systems is seeking a seasoned cluster engineer to join the team responsible for turning thousands of wafers, servers, and switches into a reliable, observable cloud. The role focuses on automating bare-metal provisioning, upgrades, and security patches, with a strong emphasis on CRDs, controllers, and RBAC in a Go/Python/Kubernetes stack.
You will design and operate large inference workloads, build telemetry pipelines with Prometheus and Grafana, and contribute to resilient.
Senior Distributed Systems 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.
