Amit Ben-moshe is a Fellow at AMD with over a decade of experience building high-performance software for CPUs, GPUs and heterogeneous systems. He combines deep technical roots from a B.Sc. in Electrical Engineering and Computer Science with business and leadership training from an MBA and Wharton executive coursework. At AMD he has driven low-level tooling and backend development—contributing to notable open-source projects like CodeXL where he implemented shader analysis and Vulkan/DirectX backend improvements that improved accuracy and performance estimates. Earlier roles include founding a startup and engineering positions across identity verification and consulting, reflecting both product instincts and hands-on execution. Amit’s background in the IDF and varied industry experience give him a pragmatic approach to complex systems, blending optimization expertise with cross-functional influence. He is particularly skilled at translating hardware-aware algorithms into reliable developer tools that bridge research and production.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Electrical Engineering and Computer Science, Bachelor of Science (B.Sc.), Electrical Engineering and Computer Science at Tel Aviv University
Executive Training, Executive Training at University of Pennsylvania - The Wharton School
Master of Business Administration (M.B.A.), Finance, Master of Business Administration (M.B.A.), Finance at IDC Herzliya
CodeXL is a comprehensive tool suite that enables developers to harness the benefits of CPUs, GPUs and APUs.
Role in this project:
Back-end Developer
Contributions:1 release, 63 commits, 41 pushes in 1 year 11 months
Contributions summary:Amit primarily contributed to the CodeXL shader analyzer, focusing on DirectX (DX) and Vulkan backends. Their work included implementing support for D3D11 shader intrinsics, fixing DX AMDIL disassembly, and updating the Vulkan backend. Additionally, the user made changes to the OpenCL backend, including optimizations and addressing potential compatibility issues. They also made changes to improve clock cycle estimates.
The Radeon GPU Analyzer (RGA) is an offline compiler and code analysis tool for Vulkan, DirectX, OpenGL, and OpenCL.
Contributions:23 releases, 4 reviews, 81 commits in 5 years 11 months
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