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As a Distributed Software Engineer, you will automate configuration, develop orchestration systems, and ensure robust monitoring for large-scale AI Supercomputers in a cluster environment. This role involves working with various software and tools to minimize downtime and enhance resource management in both on-premise and cloud deployments.

Develop and maintain system administration and monitoring services. Collaborate on defining requirements and integrate solutions across software and hardware domains. Write quality, testable code, and optimize database systems. Proficiency in Go and C/C++ is essential.

You will be responsible for silicon testing, repair, and burn-in of Cerebras wafer scale engines. Key tasks include collaborating on silicon testing, utilizing redundancy for repairs, running algorithms to optimize wafer performance, debugging production issues, and recommending solutions based on root cause analysis.

The Senior Product Manager for the Cloud Console will define and execute the product strategy for the administrative web application that manages inference and training services. Responsibilities include conducting user research, translating user requirements into specifications, collaborating with cross-functional teams, and communicating product updates to stakeholders.

The Senior ML Integration and Ops Engineer will drive technical projects for large-scale LLM model training, focusing on software and hardware integration, automation of workflows, and software specification development. Responsibilities include debugging, effective communication, and enhancing ML product quality, while leading cross-functional efforts and improving integration methodologies.

The Quality Engineer Lead at Cerebras is responsible for standardizing quality metrics across the system pipeline, prioritizing and driving quality improvements, collaborating with systems engineering, and implementing quality control processes. This role requires strong analytical skills, leadership, and the ability to work under pressure to ensure high-quality standards are maintained throughout the product lifecycle.

The Senior Hardware Technical Program Manager at Cerebras Systems leads the operational excellence of high-performance AI compute systems, managing end-to-end hardware schedules, engineering issues, and BOM. The role involves collaboration across multiple teams to ensure efficient deployment of supercomputers, technical risk mitigation, and cost management.