GPU System Performance Architect

Responsibilities

• Develop innovative processor and system architectures to extend the state of the art in GPU-accelerated cloud computing.
• You'll analyze trade-offs in system performance, cost and efficiency by developing analytical models, simulators and data visualization tools.
• Understand and analyze the interactions between hardware and software in large-scale data center deployments of GPU-accelerated systems.
• Collaborate across the company to guide the direction of GPU-accelerated cloud computing, working with software, product and business teams.
• What we need to see
• You have a Masters or PhD in a relevant discipline such as Computer Science, Electrical Engineering, or Computer Engineering (or equivalent experience) with 10 years of relevant work or research experience.
• Excellent mathematical and analytical skills.
• Work experience that shows a deep knowledge of computer architecture.
• Strong communication, organizational and interpersonal skills with and a real passion for working as a team
• Experience with analytical performance modeling, simulation, profiling and analysis.

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