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The Senior Hardware Technical Program Manager will lead program schedules for engineering improvements, collaborating across teams for hardware integration and deployment in AI supercomputers.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

The Senior Performance Analyst will benchmark Cerebras' AI inference performance, analyze competitor pricing, and provide pricing recommendations to enhance the customer value proposition, requiring deep expertise in ML frameworks and architecture.

As a Network Architect, you'll design AI/ML and HPC clusters, address performance bottlenecks, drive multi-team projects, and collaborate with vendors.

The Forward Deployed Product Manager at Cerebras leads customer engagements, co-architects AI solutions, and influences product roadmaps to enhance AI applications in various industries.

Lead the design and development of high-performance RTL solutions for the Cerebras Wafer Scale Engine, collaborating with teams and managing ASIC vendors.

Design, implement, optimize, and validate high-performance ML and linear algebra kernels for Cerebras hardware. Develop low-level assembly and CSL routines, measure and tune performance, build testing methodologies, and collaborate with chip and system architects to maximize compute utilization for AI and HPC workloads.

Develop and maintain the architecture for Cerebras' Inference Cloud Platform, focusing on distributed systems, performance optimization, and technical direction. Responsibilities include coding, design reviews, and mentoring senior engineers.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.