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Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

Lead corporate FP&A operations including long-range planning, budgeting, forecasting, and executive reporting in a newly public AI chip company. Partner with leadership to drive decision-making and improve financial operations through technology and structured analysis.

The ML QA Lead ensures quality in Cerebras software across ML workloads, focusing on testing accuracy, performance, and usability. Responsibilities include driving software quality, automating workflows, debugging issues, and collaborating across teams.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

The Senior Technical Program Manager is responsible for site and data center operations, leading cross-functional programs, ensuring operational readiness, and managing metrics and KPIs for AI infrastructure.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.

Design and develop high-performance distributed software for scalable AI training systems, focusing on data pipelines and system efficiency.

Develop and automate configuration for distributed clusters, create monitoring tools, manage cloud operations, and ensure system reliability for Cerebras AI supercomputers.

Lead brand expression and integrated go-to-market programs, unifying creative, product, growth, and communications to deliver cohesive campaigns that drive awareness, engagement, and measurable pipeline growth while building and managing an in-house creative and agency ecosystem.

Lead technical product marketing for AI compute, owning positioning, competitive strategy, and technical content. Translate systems-level innovations into customer and executive narratives, drive competitive intelligence, support launches, and lead a technical product marketing team aligned with product, engineering, and sales.