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ASIC Design Engineer I, Satellite Communications

Amazon · San Diego, CA

📍 San Diego, California, USAvia amazonPosted May 21, 2026
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Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. Come work at Amazon! We're hiring an ASIC Engineer within a high performance ASIC design team. This team is using industry leading methodologies to develop proprietary IP’s. The Role: Be part of Leo’s sub-team responsible for defining and implementing the digital chip SOCs for communications via Low Earth Orbit satellites and Amazon gateways. This is a unique opportunity to define a groundbreaking wireless solution with few legacy constraints. The team works with customer requirements and wireless system teams to define modems, high-speed interfaces, embedded processors, and DSP solutions in latest CMOS generation technologies. 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 responsibilities - Engage with architects and system engineers to drive hardware micro-architecture. - Able to interpret reference models in MATLAB. - Involve in control plane logic design and interfaces to bus fabrics. - Explore and propose innovative ideas and work towards optimization of the modem. A day in the life · Implement wireless system architecture in silicon from system specification to chip specification to RTL to optimizing timing / power to chip level validation. · Drive high quality designs for first-time right silicon solutions, and meeting the power objectives · Work with the verification team and participate in System level verification using test benches constructed using UVM, System C and DPI-C. · Learn about requirements and solutions for systems operating in space · Drive trade-off analysis to benefit customer experience and optimization of resources (costs, power, spectrum).

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