Micro-Architect in ASIC Architecture at Cerebras Systems
Sunnyvale, CA 94085
About the Job
Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications.
Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research.
Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.Responsibilities Translate high level architecture spec to micro-architecture feature requirementsDevelop RTL, validate functionality and perform synthesis for new micro-architectural featuresEnable turn-key PPA trade-off analysis methodologies to ground new architectural featuresGenerate initial micro-architecture spec supported by feasibility studiesDevelop targeted power tests for existing and new architecture and extract power efficiency featuresEngage with design teams via regular reviews and enable seamless handoff for further executionSkills & QualificationsMasters/PhD in Electrical/Computer Engineering 10+ years of experience in micro-architecture definition and development across GPUs, CPUs or accelerator productsStrong background in computer architecture and micro-architecture fundamentalsExperience working on Power, Performance and Area (PPA) analysis and trade-offsComfortable with developing new and PPA optimized datapath and control RTL blocksExposure to micro-architecture evaluation methodologies via synthesis and power analysis EDA toolsAccelerator development experience is a plusWhy Join CerebrasPeople 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 GPUPublish and open source their cutting-edge AI researchWork on one of the fastest AI supercomputers in the worldEnjoy job stability with startup vitalityOur simple, non-corporate work culture that respects individual beliefsRead our blog: Five Reasons to Join Cerebras in 2024.Apply today and become part of the forefront of groundbreaking advancements in AI.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.
We believe inclusive teams build better products and companies.
We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data.
For more details, click here to review our CCPA disclosure notice.
Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research.
Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.Responsibilities Translate high level architecture spec to micro-architecture feature requirementsDevelop RTL, validate functionality and perform synthesis for new micro-architectural featuresEnable turn-key PPA trade-off analysis methodologies to ground new architectural featuresGenerate initial micro-architecture spec supported by feasibility studiesDevelop targeted power tests for existing and new architecture and extract power efficiency featuresEngage with design teams via regular reviews and enable seamless handoff for further executionSkills & QualificationsMasters/PhD in Electrical/Computer Engineering 10+ years of experience in micro-architecture definition and development across GPUs, CPUs or accelerator productsStrong background in computer architecture and micro-architecture fundamentalsExperience working on Power, Performance and Area (PPA) analysis and trade-offsComfortable with developing new and PPA optimized datapath and control RTL blocksExposure to micro-architecture evaluation methodologies via synthesis and power analysis EDA toolsAccelerator development experience is a plusWhy Join CerebrasPeople 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 GPUPublish and open source their cutting-edge AI researchWork on one of the fastest AI supercomputers in the worldEnjoy job stability with startup vitalityOur simple, non-corporate work culture that respects individual beliefsRead our blog: Five Reasons to Join Cerebras in 2024.Apply today and become part of the forefront of groundbreaking advancements in AI.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.
We believe inclusive teams build better products and companies.
We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data.
For more details, click here to review our CCPA disclosure notice.