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

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

As a Software Engineer, you'll debug integration issues across the Cerebras AI platform, develop AI tools, automate diagnostics, and ensure system resilience through CI/CD pipelines.

The Detection and Response Engineer will enhance security by creating efficient threat detection systems, investigating incidents, and automating workflows to improve incident response effectiveness.

Cerebras Systems seeks a skilled Physical Design Engineer. Responsibilities include physical design tasks, integration with RTL teams, optimizing power/performance/area, and using verification methodologies and tools.

The role involves collaborating with RTL designers to ensure quality silicon design, developing test plans, creating verification methodologies, and debugging test failures in AI chip design.

The role involves building software and hardware infrastructure for high-speed AI inference on Cerebras' Wafer-Scale Engine, optimizing models, and developing performance-critical components.

As a 3D Physical Design Engineer, you'll design and analyze 3D integrated products, focusing on ASIC/SoC design, power, clock, and cooling analysis with an emphasis on physical design methodology.

The QA Engineer will develop test plans, automate testing methodologies, maintain quality in cloud-based services, and collaborate with teams to ensure software reliability.

Lead a team of engineers to develop high-performance software solutions for AI and HPC workloads while mentoring team members and overseeing technical direction.