If you are passionate about driving the future of graphics hardware and display technology and want to work with leading graphics researchers on Intel's latest GPU/CPU architecture, then our Visual and Parallel Computing Group (VPG) has opportunities for you. VPG delivers Intel's 3D graphics, media, display GPU, and Parallel Computing Technology and is constantly looking for world class researchers to join our various research efforts. Your responsibilities will involve - Research in 3D graphics, working alongside other Intel researchers to invent new techniques or technologies that advance the field of real-time rendering. - Producing a long-term technology vision that impacts Intel graphics hardware and software products - Publishing your work in leading conferences and journals We're looking for graphics explorers who are collaborative and team oriented with strong written and verbal communications skills - ready to follow ideas and findings where-ever they take you to innovate and make a difference with Intel real-time graphics. Come join us!
Minimum Qualifications: Candidate must have a Bachelor's degree in CS, CE, EE, Physics, Math, or a related field with 6 years of experience. A Master's or PhD is preferred. Candidate must have 6+ years of experience with the following: - Comprehending, analyzing and extending techniques described in rendering literature - Developing advanced graphics algorithms in domains such as raster graphics, ray traced based graphics, global illumination, depth of field, motion blur, acceleration structures, etc. - Developing software in C++ together with programmable shaders and GPU compute - Creating real-time rendering effects using current and upcoming graphics APIs (OpenGL, Vulkan, DirectX 12)Preferred Qualifications: - Background in relevant industries including video game development, rendering software or visual effects in film. - Knowledge of GPU architecture and/or GPU workloads and performance characteristics - Background in writing publications and/or presenting at conferences or other events - Experience with performance analysis including using low-level tools like profilers for identifying performance issues - Familiarity with parallel programming environments such as TBB, CUDA or OpenCL
US, California, Santa Clara
US, Washington, Multiple Cities