Summary
Somayeh Rahimipour is an AI Technical Specialist at AMD with eight years of experience designing high-performance embedded systems and accelerating domain-specific workloads. She holds a Ph.D. in Computer and Embedded System Engineering and has a strong track record optimizing SAR and STAP pipelines on Xilinx VERSAL ACAP, including a sophisticated parallelization across 400 AIE kernels. Her background spans ASIC physical design, embedded software, and tooling—she built a meta templating language for language-agnostic code generation and created pybind11 bindings to bridge C/C++ backends with Python workflows. At the University of Virginia she demonstrated system-level reliability improvements via a simulated-annealing power pad placement algorithm that boosted MTTF by 25%, highlighting her cross-cutting hardware-software perspective. Based in California, she blends rigorous academic research with pragmatic engineering to deliver performant, production-ready AI and FPGA solutions.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Engineering, CGPA: 3.91, Bachelor's degree, Computer Engineering, CGPA: 3.91 at Shahid Bahonar University
Master of Science (M.Sc.), Computer System Engineering, CGPA: 4, Master of Science (M.Sc.), Computer System Engineering, CGPA: 4 at University Putra Malaysia