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Lead the development and implementation of test programs for wafer-scale processors, ensuring silicon defect characterization, fault isolation, and optimizing test methodologies.

Design Verification Engineer responsible for ensuring high-quality designs for silicon, developing verification strategies, and collaborating with cross-functional teams to enhance methodologies.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

The Lead Data Architect for Quality & Reliability will design and implement the data architecture for product health, reliability performance, and warranty economics, ensuring data unification across multiple teams at Cerebras Systems.

As a Performance Reliability Engineer, you will optimize performance and reliability of ML systems, analyze workloads, enhance collaboration with cross-functional teams, and influence architecture design.

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.

Join the Inference Core Model Bringup team to bring up ML models on Cerebras CSX systems, focusing on performance, optimization, and debugging.

As a Performance Engineer, you will optimize CPU and memory subsystems for high-performance ML workloads on x86 machines, develop algorithms for data movement, and engage with the AI community to enhance our AI platform.

Lead physical design integration at Cerebras, focusing on high-speed designs, physical verification, and collaborating with RTL teams for optimization.

Negotiate commercial transactions, support procurement and engineering, ensuring legal integrity in contracts related to AI and cloud technologies.