ASIC Architect

Overview

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach enables Cerebras to deliver industry-leading training and inference speeds and allows machine learning users to run large-scale ML applications without managing hundreds of GPUs or TPUs.

Thanks to the wafer-scale architecture, Cerebras Inference offers fast Generative AI inference, with performance advantages over GPU-based hyperscale cloud inference services. This increase in speed supports real-time iteration and more capable AI applications.

• Translate high level architecture spec to micro-architecture feature requirements
• Bring up new features in the performance/power model
• Perform comprehensive PPA trade-offs for new architectural features
• Extract insights for new features and micro-architecture power efficiency
• Profile workloads, identify bottlenecks and project competition performance for benchmarking
• Engage with SW teams for end-end application level modeling at cluster level
• Identify kernel level HW acceleration level opportunities

• Masters/PhD in Electrical/Computer Engineering
• 10+ years of experience across performance analysis and modeling across GPUs, CPUs or accelerator products
• Strong background in computer architecture and key high level architectural trade-offs
• Comfortable standing up new performance models from scratch in Python or similar analytical environments
• Exposure to micro-code (kernel) performance bottlenecks and optimization techniques
• Good understanding of how high-level workloads map to underlying micro-architecture is desired
• Understanding of basic ML workload profiling techniques and model network architecture is preferred

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source their cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• Our simple, non-corporate work culture that respects individual beliefs.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills and strive to build an inclusive work environment that supports continuous learning and growth.

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