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The role involves designing and developing open-source libraries and demo applications that showcase Cerebras' AI Inference capabilities, while contributing to engineering blogs and collaborating with partner teams.

Design and develop core backend services and APIs for the Cerebras Inference Platform, ensuring ease-of-use, robustness, and reliable performance for ML workloads.

The IT Support Specialist provides technical support for users, manages onboarding/offboarding, maintains user accounts, administers Microsoft 365, and improves IT processes. Strong troubleshooting and customer service skills are essential.

The Principal Technical Program Manager will oversee AI inference capacity planning, manage data center operations, and coordinate cross-functional collaboration.

Develop high-performance code for the distributed system, optimizing data structures and algorithms for Cerebras' architecture in AI applications.

As a Senior Research Engineer, you will optimize language and vision models on Cerebras hardware, focusing on high-performance ML inference techniques.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

As a DevOps Engineer, you will design and maintain an automation framework, manage CI/CD pipelines, and integrate AI solutions with back-end systems while ensuring application scalability and performance.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

As a Performance Reliability Engineer, you will optimize performance and reliability of ML systems, analyze workloads, enhance collaboration with cross-functional teams, and influence architecture design.