Senior Engineer, Edge Systems Architecture

Our vision is to transform how the world uses information to enrich life for all .

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Join Micron Technology’s MCBU (Mobile & Client Business Unit) Systems Lab, where we focus on improving the performance and power efficiency of memory and storage devices for Edge platforms. As a Senior Engineer, Edge Systems Architecture, you will contribute significantly to crafting the future of our next-generation Memory/Storage solutions for Mobile and Client Customers. Here, you will work with innovative technologies and collaborate with a team of skilled professionals.

Responsibilities

• Determine architectural needs of Memory/Storage Systems based on a competitive market analysis for Mobile and Client platforms. • Innovate new solutions to complex system-level problems by collaborating closely with Engineering and Product Management teams, with both software and hardware expertise. • Develop, evaluate, and optimize new memory/storage architectures to improve cost, performance, and power efficiency of Mobile and Client products. • Define and measure cost, performance, and power metrics for Edge platforms, supported by detailed analysis. • Understand and improve the architecture of Memory/Storage Controllers for efficient performance. • Evaluate and demonstrate architecture trade-offs impacting memory/storage subsystem performance. • Identify and implement AI-enabled opportunities to automate workflows, improve efficiency, and accelerate decision-making processes. • Develop reusable AI-assisted workflows for benchmark data processing, performance profiling, root-cause analysis, reporting, and technical insight generation. • Integrate AI capabilities with existing tools, scripts, simulation environments, and validation processes while ensuring data security and result traceability. • Enable responsible AI adoption by validating outputs, documenting methodologies, sharing standard processes, and measuring improvements in efficiency, quality, and time to insight.

Requirements

• BS, MS, or PhD or equivalent experience in Electrical/Computer Engineering or Computer Science. • Proven experience in DRAM/NAND IPs, SoC/IP Development, or Systems Architecture & Analysis for Client/Server/Mobile SoCs. • Experience working with CPU, GPU, Image Processor, AI Processors, DDR, or systems development. • Experience in Client/Server/Mobile SoC or Memory Chip build or Systems development. • Expertise in benchmark (Power, Performance, Thermal) analysis and proficiency in various profiling tools. • Strong knowledge of Computer and Memory/Storage Architecture. • Excellent communication skills and the ability to articulate results clearly. • Positive relationship skills and cross-functional collaboration. • Self-motivated with significant problem-solving skills. • Proficiency in applying AI/ML concepts and tools to system architecture, performance analysis, and design-space exploration. • Experience evaluating AI workloads across CPU, GPU, NPU/AI accelerators, memory, and storage subsystems. • Strong knowledge of generative AI and AI-supported engineering tools. • Ability to assess emerging AI models and workloads and translate their requirements into architecture recommendations.