What are the responsibilities and job description for the Performance Architect in ASIC Architecture position at Coatue Management L.L.C.?
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 Bring 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 benchmarkingEngage with SW teams for end-end application level modeling at cluster levelIdentify kernel level HW acceleration level opportunitiesSkills & Qualifications Masters / PhD in Electrical / Computer Engineering10 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 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, 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 beliefsApply today and become part of the forefront of groundbreaking advancements in AI.#J-18808-Ljbffr
