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FPGA Engineer, Amazon LEO OISL

Amazon · Redmond, Washington, USA

Imported listingfull-timeabout 2 months ago

About The Role

LEO is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesCreate FPGA solutions to support LEO's Optical inter satellite Link system. This is a unique opportunity to define a new system with few legacy constraints. The FPGA design engineer will work with systems teams to define/develop/implement/test/release FPGA based solutions to enable LEO. This will focus on creating digital designs using the latest generations of FPGA technologies and <tools.In> this role you will:Have ownership of one or more FPGA bitstreams. - Create and release FPGAs through the development phases of uArchitecture-RTL Design-Physical Implementation-Timing Closure–Simulation Validation– Lab Based Silicon ValidationCollaborate with system architects to define and design/implement/test/release/support functions targeted to FPGA technologyCollaborate with system architects and design engineers to implement digital logic functions in FPGAsCollaborate with system architects and design engineers to implement digital logic functions in FPGA prototypes to validate/tradeoff architecture & design alternativesCollaborate with systems architects, HW engineering design teams & FW/SW design teams to bring up and test the system <solutions.Drive> trade-off analysis to benefit customer experience and optimization of target technology resources for cost/size/power/performance/features

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