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Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. 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’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Work/Life Balance
Mentorship & Career Growth
* BSc degree in Electrical Engineering or Computer Engineering.
* 8+ years of experience in SOC development, with proven track records of ownership and deliveries
* 3+ years of experience with power analysis and optimization
* Experience working with SOC verification tools - simulation and emulation
* Good programming skills. Knowledge of one or more of following programming languages: C, Python, Perl.
* Deep understanding in all SOC development domain including design for power, IR drop, LdI/dT etc.
* Good communication skills. An ability to effectively communicate and cooperate with other teams to get the task done.
* Team player, with the ability to work in a rapidly changing environment.
* Experience running SW benchmarks for performance and power analysis
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