Sr. Technologist – AI Systems & Performance Lab

Stack

Responsibilities

• ▹Establish and articulate a clear technical vision and charter for the AI Lab, focused on AI workload characterization and performance bottleneck analysis
• ▹Define the research agenda, success metrics and execution model aligned with organizational objectives
• ▹Serve as the technical authority for AI systems performance and workload analysis
• ▹Drive end-to-end analysis of AI training and inference workloads, spanning models, frameworks, runtimes and full system stacks
• ▹Identify performance bottlenecks across compute, memory hierarchy, interconnects, storage, power and software layers
• ▹Develop repeatable methodologies for root-cause analysis across heterogeneous platforms (CPU, GPU, NPU and custom accelerators)
• ▹Architect and oversee the development of benchmarking, profiling and workload characterization frameworks
• ▹Evaluate AI performance across multiple hardware configurations and system topologies
• ▹Establish best practices for performance measurement, regression tracking and comparative analysis
• ▹Partner closely with hardware and platform teams

Requirements

• ▹Deep expertise in AI workloads and system performance
• ▹Ability to translate complex technical findings into clear architectural and business impact

About the company

Sandisk is a global leader in Flash memory and storage solutions, with a rich history of innovation in Flash and advanced memory technologies. The company operates two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced Fourth Industrial Revolution innovations, and as Sustainability Lighthouses for efficient operations.