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The AI Infrastructure Tools Engineer will design, build, and maintain tools for AI infrastructure, ensuring high service availability and collaborating with various teams to enhance efficiency and security.

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.

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.

Join Cerebras Systems to optimize and develop frontend compiler infrastructure for PyTorch models on their unique wafer-scale AI platform, focusing on model representation and optimization.

The VP, Commercial & Privacy will lead negotiations of significant agreements, manage global sales support, oversee privacy compliance, and mentor the legal team.

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

Join the physical design team to synthesize, place, route, and integrate high-speed designs, collaborating with the RTL team for seamless implementation.