GPU Architect

We are looking for a GPU Architect to join our client, a global organisation working on the forefront of advanced computing and semiconductor innovation, developing next-gen GPU technology. An excellent opportunity to influence future GPU architecture within a highly technical, research-driven R&D environment.

The successful GPU Architect will work at the intersection of hardware architecture, graphics algorithms and high-performance computing, as well as help define how advanced graphics and compute workloads are mapped onto future GPU architectures, balancing performance, image quality, latency, power efficiency and hardware complexity.

• Lead architectural research and development for next-generation GPU and graphics platforms.
• Define and evaluate GPU architecture approaches for advanced graphics and compute workloads.
• Analyse how rendering and graphics algorithms can be efficiently mapped onto GPU hardware to improve performance, image quality, latency and power efficiency.
• Investigate architectural requirements for technologies including ray tracing, path tracing, physically based rendering, screen-space techniques and image reconstruction.
• Work closely with hardware, software, graphics and research teams to translate algorithms and emerging technologies into viable GPU architecture solutions.
• Evaluate architectural trade-offs through performance analysis, modelling and technical research, contributing to future GPU technology roadmaps.

• 5+ years of professional experience in GPU architecture, graphics hardware, computer architecture, graphics algorithms or a closely related field.
• Strong understanding of modern GPU architecture, graphics pipelines and massively parallel computing.
• Proven experience analysing, designing or optimising GPU architectures or graphics hardware/software systems.
• Strong understanding of GPU performance characteristics, including parallel execution, memory hierarchy, bandwidth, latency, scheduling and power efficiency.
• Experience with advanced graphics technologies such as Ray Tracing, Path Tracing, Physically Based Rendering, screen-space techniques, image reconstruction or related areas.
• Strong understanding of how graphics algorithms and workloads map onto GPU hardware.
• Strong C/C++ programming and algorithm design capabilities.
• Hands-on experience with GPU or graphics technologies such as Vulkan, OpenGL/OpenGL ES, DirectX 11/12, Metal, OpenCL or CUDA.
• Bachelor's or Master's degree, or equivalent experience, in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Computer Graphics or a related technical discipline.
• PhD or equivalent research experience in GPU architecture, computer graphics, computer architecture or a related field.
• Experience with GPU hardware/software co-design.
• Experience with GPU microarchitecture, execution units, SIMD/SIMT architectures, cache and memory systems or GPU scheduling.
• Experience with architectural modelling, simulation or performance modelling.
• Commercial experience developing GPU, graphics hardware, semiconductor or SoC products.
• Experience working on future GPU generations or defining new graphics hardware capabilities.
• Publications, patents, white papers or technical contributions in GPU architecture, graphics or computer architecture.

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