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What you'll be doing:
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:
Masters or PhD in a relevant field such as Computer Science, Electrical Engineering, or Computer Engineering or equivalent experience
10+ years of relevant work or research experience.
Strong programming skills in Python and C++ proven throughout your work history.
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.
Ways you can stand out from the crowd:
You possess a background in data center/cloud computing design with experience in crafting hardware for a virtualized environment.
Expertise in data analysis and visualization.
Prior experience and familiarity with GPU computing and parallel programming models
You will also be eligible for equity and .
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