Sr. Power Electronics Engineer, Amazon Leo Customer Terminal

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. On the CT Power Team you will design the power delivery systems enabling next generation Amazon Leo Customer Terminal portfolio. You'll own point-of-load regulator design, power distribution network (PDN) analysis, and converter development for products that span high-volume consumer terminals and low-volume high-performance platforms. Your designs go from simulation to bench to production. 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 - Own power delivery design end to end: regulator selection, PDN design, control loop compensation, prototype build, characterization, and validation. - Lead power architecture trades that balance efficiency, cost, thermal, and performance across both high-volume/cost-sensitive and low-volume/high-performance designs. Your recommendations determine what gets built. - Perform DC drop and AC PDN impedance analysis. Define decoupling strategies, remote sensing solutions, and validate power delivery meets Silicon requirements. - Collaborate with Silicon teams to track power budgets, model power system needs, and ensure the PDN supports current all terminal use cases. - Design, simulate, and build prototype converters and power systems. When something doesn't behave, get to the bottom of it and fix it. - Own power telemetry solutions and their digital interfaces (I2C, PMBUS, SPI) - Lead design reviews and set the technical bar for power delivery across terminal products. - Work closely with silicon, RF, antenna, thermal, mechanical, and systems teams to close budgets and solve problems within real-world constraints.