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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.

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

The Principal Customer Success Engineer ensures the success of strategic customers by guiding onboarding, integration, and optimization of Cerebras' AI solutions while mentoring the Customer Success team.

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.

Design and implement low-level components in a compiler toolchain, focusing on LLVM for optimizing code generation for a large AI chip architecture.

The Senior Quality Engineer drives manufacturing quality by ensuring products meet rigorous standards, leading audits, corrective actions, and quality controls in collaboration with suppliers and contract manufacturers.

Manage product strategy for the Cerebras Cloud platform and Serverless Inference, focusing on capacity management, service utilization, and customer success. Collaborate with cross-functional teams to shape and launch new offerings.

The Manager of AI Infrastructure Operations leads the reliability and performance of AI compute infrastructure, manages escalations, and drives reliability initiatives.

Lead a team in developing and scaling distributed inference systems for AI on Cerebras' hardware, ensuring reliability and performance while mentoring engineers.