Senior Engineer, Edge Systems Architecture

Overview

Senior Engineer, Edge Systems Architecture in Micron's MCBU Systems Lab, focused on improving the performance and power efficiency of memory and storage devices for Edge platforms.

What you'll do

• 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.

What you'll need

• 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.

Nice to have

• 5+ years of Mobile Platform SW or HW knowledge.
• Strong understanding of DRAM, NAND, and other memory/storage devices.
• Strong knowledge of DDR or LPDDR 5/5x, PCIe, and NVMe.
• Exposure to Custom HW platform development.