GPU Cloud Systems Architect — Performance Modeling & Scale

NVIDIA; Hillsboro (OR); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA in Hillsboro, Oregon is seeking a senior researcher to design processor and system architectures for GPU-accelerated cloud computing, while analyzing performance, cost and efficiency with analytical models, simulators and data-visualization tools.

Requirements include a Masters or PhD in CS/EE/CE (or equivalent) with 10 years of relevant work, deep computer-architecture knowledge, and strong collaboration across software, product and business teams.

Qualifications

• Masters or PhD in computer science, EE or CE with 10 years of relevant work or research experience.
• Excellent mathematical and analytical skills.
• Deep knowledge of computer architecture.
• Strong communication, organizational and interpersonal skills.
• Experience with analytical performance modeling, simulation, profiling and analysis.

Responsibilities

• Develop innovative processor and system architectures for GPU-accelerated cloud computing.
• Analyze performance, cost, and efficiency using analytical models, simulators and visualizations.
• Understand hardware-software interactions in large-scale data center deployments.
• Collaborate across software, product and business teams to guide direction.

Skills

Mathematical excellence

Analytical skills

Computer architecture

Communication & collaboration

Performance modeling

Education

Masters or PhD in Computer Science / Electrical Engineering / Computer Engineering

Job description

NVIDIA in Hillsboro, Oregon is seeking a senior researcher to design processor and system architectures for GPU-accelerated cloud computing, while analyzing performance, cost and efficiency with analytical models, simulators and data-visualization tools.

Requirements include a Masters or PhD in CS/EE/CE (or equivalent) with 10 years of relevant work, deep computer-architecture knowledge, and strong collaboration across software, product and business teams.