GPU System Performance Architect
$224k - $357k • US, CA, Santa Clara
Posted 1mo ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
AI Infrastructure Engineer
About the job
NVIDIA's Architecture group is seeking a GPU System Performance Architect passionate about GPU-accelerated deep learning, data analytics, and high-performance computing. This role involves designing and developing the next generation of GPU-accelerated computing systems, offering a significant impact within a dynamic, technology-focused company. You will contribute to innovative processor and system architectures, analyze system performance trade-offs using analytical models and simulators, and understand hardware-software interactions in large-scale data center deployments. Collaboration across software, product, and business teams will be key to guiding the future of GPU-accelerated cloud computing.
Responsibilities
- Develop innovative processor and system architectures for GPU-accelerated cloud computing.
- Analyze system performance, cost, and efficiency trade-offs using analytical models, simulators, and data visualization tools.
- Understand and analyze hardware-software interactions in large-scale GPU-accelerated data center deployments.
- Collaborate with cross-functional teams to guide the direction of GPU-accelerated cloud computing.
Requirements
- Master's or PhD in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
- 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.
Benefits
- Equity
- Benefits