GPU AI Compute Architect

at  Intel

JOB DESCRIPTION

We are seeking a highly skilled GPU Compute Architect with a strong background in microarchitecture (uArch) and Register-Transfer Level (RTL) design to join our team. This individual will play a critical role in prototyping and designing advanced compute arithmetic components such as MAC (Multiply-Accumulate) arrays and ALUs (Arithmetic Logic Units) for GPUs tailored to AI applications, with a focus on delivering comprehensive power and area estimates for each design option.

• Design and prototype advanced compute arithmetic units (e.g., MAC arrays, ALUs) for GPUs targeting AI and deep learning workloads.
• Develop and optimize GPU microarchitectures to enhance performance, energy efficiency, and scalability for AI-specific applications.
• Create and refine RTL implementations to validate and benchmark new design concepts.
• Conduct detailed performance modelling and analysis to identify bottlenecks and propose innovative solutions for next-generation GPU designs.
• Produce comprehensive power and area estimates for proposed designs, enabling informed trade-off analysis and decision-making.
• Collaborate with cross-functional teams, including software, hardware, and machine learning experts, to align architecture design with application requirements.
• Research and integrate emerging technologies and methodologies in GPU compute design for AI workloads.
• Lead the evaluation of design trade-offs in terms of performance, area, and power metrics.
• Drive innovation in custom compute unit design, ensuring compatibility with broader GPU pipeline architecture.