Architect - GPU Performance

Responsibilities

• System level performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).
• Work on hardware models of different levels of abstraction, including performance models, RTL test benches ,emulators and silicon to analyze performance and find performance bottlenecks in the system.
• Understand key performance use-cases of the product.
• Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products.
• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.
• Develop required infrastructure including performance models, testbench components, performance analysis and visualization tools.
• Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.
• What we need to see
• BE/BTech, or MS/MTech in relevant area, PhD is a plus, or equivalent experience.
• 3+ years of experience with exposure to performance analysis and complex system on chip and/or GPU architectures.

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