GPU Architect

European Tech Recruit; Cambridge; Presencial; GBP 90 000 - 120 000; Tempo integral

Resumo da oferta

European Tech Recruit is seeking a GPU Architect to join a global leader in advanced computing and semiconductor innovation. You will influence next‑gen GPU architecture, balancing performance, image quality, latency and power as workloads map onto future GPUs.

You will collaborate with hardware, software, graphics and research teams; require 5+ years in GPU architecture, strong C/C++, and hands‑on experience with Vulkan, OpenGL/ES, DirectX, CUDA or similar.

Qualificações

• 5+ years in GPU architecture or related field.
• Strong knowledge of modern GPU pipelines.
• Experience mapping workloads to GPU hardware.
• Publications or patents in GPU/graphics are a plus.

Responsabilidades

• Lead architectural research and development for next‑gen GPU and graphics platforms.
• Define and evaluate GPU architecture approaches for advanced workloads.
• Analyse how rendering and graphics algorithms map onto GPU hardware to improve performance and power efficiency.
• Investigate requirements for ray tracing, path tracing, and PBR technologies; collaborate across teams.

Conhecimentos

GPU architecture

C/C++

Graphics algorithms

Parallel computing

Ray tracing

CUDA/OpenCL

Formação académica

Bachelor's or Master's in CS/EE

PhD in related field

Ferramentas

Vulkan

OpenGL ES

DirectX 11/12

CUDA

Descrição da oferta de emprego

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.

Key Responsibilities

• 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.

Required Experience & Skills

• 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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