Staff Systems Engineer, AI Solutions

Job Title

Staff Systems Engineer, AI Solutions

Role Summary

Define memory and storage solutions for next-generation automotive, industrial, and consumer embedded systems with a focus on edge AI inference. Work with internal engineering teams and external partners to translate application requirements into product strategy and roadmaps.

This role combines system-level analysis, modeling, and customer engagement to inform product definition and long-term technology planning.

Experience Level

Senior — typically requires 5+ years of experience in system architecture, product definition, or related technical roles.

Responsibilities

Primary responsibilities include system analysis, roadmap definition, and customer-facing technical leadership.

• Define memory and storage requirements for embedded systems with a 3–5 year technology horizon.
• Analyze system, compute, and software architectures to guide product strategy and roadmap decisions.
• Develop system models and experiments to evaluate AI inference workloads and performance tradeoffs.
• Drive technical engagements with key customers, partners, and chipset vendors.
• Evangelize technologies through customer interactions and industry forums.

Requirements

Must-have and preferred qualifications relevant to successful performance in this role.

• Must-have:
  • 5+ years of experience in system architecture, product definition, or related technical roles.
  • Strong understanding of embedded system architectures, SoCs, and memory/storage usage.
  • Experience developing system models and evaluating AI inference workload performance.
  • Experience collaborating with cross-functional engineering teams and external partners.
  • Excellent communication, presentation, and technical influencing skills.
• Nice-to-have:
  • Experience with automotive, autonomous driving, robotics, or advanced embedded platforms.
  • Knowledge of memory and storage technologies such as DDR, LPDDR, NAND, eMMC, UFS, or SSDs.
  • Experience evaluating hardware performance for AI inference workloads and familiarity with AI/ML accelerators and supporting software stacks.

Education Requirements

Required: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a related field. Preferred: Master’s degree or PhD in a relevant technical field.

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.