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

The Reliability Testing Engineer develops, executes, and analyzes reliability tests for electronic systems, focusing on long-term performance. Responsibilities include designing test setups, performing environmental testing, and conducting statistical analysis to ensure product robustness.

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 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.

As an IT/DevOps Engineer at Cerebras, you'll design and maintain cloud and on-premises infrastructure, implement CI/CD pipelines, ensure system security, and automate tasks to improve operations.

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.

Design and analyze circuits for AI silicon, focusing on circuit design, power simulations, and optimizing performance.

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

As an AI Inference Support Engineer, you'll troubleshoot customer issues in AI inference, manage tickets, analyze performance metrics, and collaborate with engineering teams.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.