Architecture / architect

This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.ResponsibilitiesTranslate high level architecture spec to micro-architecture feature requirementsBring up new features in the performance/power modelPerform comprehensive PPA trade-offs for new architectural featuresExtract insights for new features and micro-architecture power efficiencyProfile workloads, identify bottlenecks and project competition performance for benchmarking Engage with SW teams for end-end application level modeling at cluster levelIdentify kernel level HW acceleration level opportunitiesQualificationsMasters/PhD in Electrical/Computer Engineering 10+ years of experience across performance analysis and modeling across GPUs, CPUs or accelerator productsStrong background in computer architecture and key high level architectural trade-offsComfortable standing up new performance models from scratch in Python or similar analytical environmentsExposure to micro-code (kernel) performance bottlenecks and optimization techniquesGood understanding of how high-level workloads map to underlying micro-architecture is desiredUnderstanding of basic ML workload profiling techniques and model network architecture is preferredWhy 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. Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.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.