As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We are seeking an experienced Emulation Engineer to build the next generation of our cloud server infrastructure using our emulation platform. In this role, you will define, develop and execute the methodologies to drive system validation flows that cover the ML chip design and verification requirements. You will work closely with various teams to determine the emulation platform requirements, models needed for functional testing and automation of various workflows. You will be delivering a state-of-the-art testbench, integrate the ViP components into the SoC and ensure a high quality of the design delivered to the customers. You will be developing a strong understanding of the product and continuously raise the bar to ensuring that emulation models are functionally correct and performant. Join us in creating the most advanced Machine Learning Accelerators in the world! A day in the life As a senior emulation engineer, you have an unique opportunity to define and develop emulation driven end-to-end system validation methodologies. You would be working closely with our vendor, software, firmware, architecture, design and verification teams to design and execute system validation flows.
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Job Type
Full-time
Career Level
Senior