Micro-Architect in ASIC Architecture

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel 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 allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

Responsibilities

• Translate high level architecture spec to micro-architecture feature requirements.
• Develop RTL, validate functionality and perform synthesis for new micro-architectural features.
• Enable turn-key PPA trade-off analysis methodologies to ground new architectural features.
• Generate initial micro-architecture spec supported by feasibility studies.
• Develop targeted power tests for existing and new architecture and extract power efficiency features.
• Engage with design teams via regular reviews and enable seamless handoff for further execution.

Skills and Qualifications

• Masters/PhD in Electrical/Computer Engineering.
• 10+ years of experience in micro-architecture definition and development across GPUs, CPUs or accelerator products.
• Strong background in computer architecture and micro-architecture fundamentals.
• Experience working on Power, Performance and Area (PPA) analysis and trade-offs.
• Comfortable with developing new and PPA optimized datapath and control RTL blocks.
• Exposure to micro-architecture evaluation methodologies via synthesis and power analysis EDA tools.
• Accelerator development experience is a plus.

Why Join Cerebras

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, weve reached an inflectionpoint 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.