GPU System Performance Architect

The NVIDIA Architecture group is looking for extraordinary computer architects with a real passion for GPU-accelerated deep learning, data analytics and high performance computing to help design and develop the next generation of GPU-accelerated computing systems.

Responsibilities:

• Develop innovative processor and system architectures to extend the state of the art in GPU-accelerated cloud computing.
• 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.

Requirements:

• Master's 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.

Preferred Qualifications:

• 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.
• Prior experience in performance modeling, characterization and optimization of PCIe and IO-centric workloads.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.