Xinran Tao
GPU Compute Software Engineer @ Samsung Semiconductor
About
GPU software engineer focused on GPU programming, high-performance computing, and graphics systems. Currently at Samsung SARC/ACL working on GPU compute.
United States
Austin
Computer Software
OpenCL, GLES, Metal, Three.js, Substance Painter, Digital Education, Programming, Artificial Intelligence (AI), Software Engineering Practices, NSight, WGSL, Optimization, Houdini, Maya Embedded Language (MEL), Vulkan , CMake, Linear Algebra, Qt, CUDA, Vulkan
Experience
GPU Compute Software Engineer
Samsung Semiconductor
Austin, TX
CIS 4610 Advanced Rendering Teaching Assistant
University of Pennsylvania
Philadelphia, PA
CIS 4600 Interactive Computer Graphics Teaching Assistant
University of Pennsylvania
Philadelphia, PA
- Mentored 30+ students in building OpenGL applications with Qt-based UI integration. - Diagnosed graphics pipeline issues involving framebuffer setup, texture imports, and render states using RenderDoc. - Clarified conceptual questions on graphics pipelines, camera transformations, and linear algebra fundamentals.
CIS 5650 GPU Programming and Architecture Teaching Assistant
University of Pennsylvania
Philadelphia, PA
- Answered conceptual questions on GPU architecture fundamentals, including memory coalescing and warp efficiency. - Led 50+ students in debugging and optimizing CUDA, Vulkan, and WebGPU projects using Nsight.
CIS 6600 Advanced Topics in Computer Graphics and Animation Teaching Assistant
University of Pennsylvania
Philadelphia, Pennsylvania, United States
ESAP Computer Graphics Resident Teaching Assistant
University of Pennsylvania
Philadelphia, Pennsylvania, United States
RTA of Computer Graphics for the Engineering Summer Academy at Penn (ESAP) program.
3D Graphics Software Engineer Intern
Snap Inc.
Santa Monica, California, United States
- Achieved ~40% lower GPU power consumption and ~40% higher frame rate on Spectacles AR devices, verified via internal firmware profiling, significantly enhancing rendering efficiency and overall performance. - Developed a cubemap rendering pipeline in C++ and GLSL to replace legacy lat-long environment maps, generating and packaging cubemap faces into compressed KTX2 textures optimized for GPU delivery. - Implemented unified texture handling across Vulkan, Metal, and OpenGL, adding KTX2 decoding/transcoding and extending Snap’s C++ graphics library for compressed cubemap support.
Education
University of Pennsylvania
Computer Graphics
EPFL
Computer Science
King's College London
Computer Science
Obtained King's Research Award.
Xinran Tao's Contact Information
Phone
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