Senior GPU System Performance Architect

NVIDIA is seeking a Senior GPU System Performance Architect to join their Platform Architecture group. This role offers an opportunity to impact the next generation of GPU-accelerated computing systems. The ideal candidate will develop innovative processor and system architectures, analyze trade-offs in system performance, cost, and efficiency, and collaborate across the company to guide the direction of GPU-accelerated cloud computing.

Key responsibilities include:

• Developing innovative processor and system architectures for GPU-accelerated cloud computing
• Analyzing trade-offs using analytical models, simulators, and data visualization tools
• Understanding hardware-software interactions in large-scale data center deployments
• Collaborating with software, product, and business teams

Requirements:

• Masters or PhD in Computer Science, Electrical Engineering, or related field
• 10+ years of relevant work or research experience
• Strong programming skills in Python and C++
• Excellent mathematical and analytical skills
• Deep knowledge of computer architecture
• Strong communication and teamwork skills
• Experience with performance modeling, simulation, and analysis

Preferred qualifications:

• Background in data center/cloud computing design
• Expertise in data analysis and visualization
• Experience with GPU computing and parallel programming models

NVIDIA offers a competitive base salary range of $180,000 - $339,250 USD, along with equity and comprehensive benefits. The company is committed to fostering diversity and is an equal opportunity employer.

Join NVIDIA in advancing GPU computing, deep learning, and AI across various industries, from cloud services to autonomous vehicles and healthcare. Be part of a team driving social progress through cutting-edge technology.