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Lead cross-functional teams to deliver ASIC solutions from concept to production, coordinating hardware and software teams for AMD’s largest customers.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And…
Lead firmware development and debugging for embedded x86 platforms, acting as the senior technical bridge between AMD and its customers to resolve complex firmware issues and drive platform enablement.
Verify next-gen PCIe controller designs for AMD’s SoCs, using SystemVerilog/UVM testbenches and low-power techniques to ensure performance and power targets for AI, gaming, and server chips.
Design verification engineer at AMD, building and automating tests for next-gen network processors and SmartNICs using UVM, SystemVerilog, and AI-assisted workflows.
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a…
Design and verify next-gen ASICs using SystemVerilog and UVM, collaborating with architects and engineers to ensure first-pass silicon success.
Design and optimize clocking and physical design flows for complex SoC/ASIC chips using industry-standard EDA tools and scripting.
Lead physical design engineer optimizing CPU cores and SoCs for thermal performance using EDA tools, power metrics, and cross-functional collaboration.
Drive AMD’s Instinct™ GPU programs for AI/HPC data centers, coordinating hardware, firmware, and software to meet customer needs and ship world-leading servers.
Design Verification Engineer at AMD builds and runs testbenches in SystemVerilog/UVM to validate DDR5/LPDDR5 memory interfaces and DFI protocols for server products.
Program manager overseeing global datacenter and lab network deployments for AMD’s Instinct GPU programs, coordinating cabling, optics, and security to ensure high-bandwidth, GPU-scale network readiness.
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