Staff Engineer, System Design Engineering

Responsibilities

• Design, define, and implement comprehensive benchmark tests for AI infrastructure platforms including GPU systems and rack-scale deployments
• Develop benchmark proposals and evaluation methodologies for AI applications like LLM inference, RAG, and Vision AI
• Analyze bottlenecks across compute, memory, storage, and networking subsystems
• Optimize data pipelines for AI inference and training
• Research and implement ways to validate PCIe/NVMe SSD debug infrastructure
• Collaborate with cross-functional teams for POC and architecture discussions

Requirements

• Bachelor's degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master's degree with 2+ years of experience
• Proficiency in scripting or programming languages such as Python, C/C++, or Shell scripts
• Experience with Windows, Linux, or VMware operating systems
• Strong understanding of AI infrastructure and hardware (GPU/CPU architecture)
• Experience in performance benchmarking and profiling tools
• Knowledge of debugging performance bottlenecks in AI pipelines

About the Company

Sandisk delivers innovative Flash and advanced memory technologies that serve as the heart of the digital world, providing essential solutions for data consumption and storage across the globe.