Amazon Web Services (AWS) is seeking experienced Design Verification Engineers to build the next generation of cloud server chips. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for the design and optimization of custom silicon in AWS data centers. The role involves working with cutting-edge technology in machine learning acceleration, requiring expertise in SOC verification, testbench development, and system integration.
The position demands strong technical skills in System Verilog, UVM, and verification methodologies. You'll be working on complex projects involving custom blocks, IP blocks, sub-systems, and fullchip SOC system testing. The ideal candidate should have experience with AMBA protocols, interconnect protocols like PCIe and UCIe, and memory sub-systems including cache coherency.
AWS's success depends on world-class server infrastructure, handling massive scale and rapid integration of emergent technologies. This role offers the opportunity to work on innovative machine learning hardware acceleration projects while being part of a team that powers hundreds of thousands of businesses worldwide.
The position involves both technical leadership and mentorship responsibilities, making it ideal for experienced engineers who want to make a significant impact in cloud computing and machine learning acceleration technology. Working at AWS means being part of a company that provides infrastructure services to businesses in 190 countries, with data center locations across the U.S., Europe, Singapore, and Japan.