Systems Engineer, AI Solutions

Responsibilities

• 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 Micron technologies through customer interactions and industry forums

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or related field
• 5+ years of experience in system architecture, product definition, or related technical roles
• Strong understanding of embedded system architectures, SoCs, and memory or storage usage
• Experience working with cross-functional engineering teams and external partners
• Excellent communication, presentation, and technical influencing skills

• Master’s degree or PhD in a relevant technical field
• 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
• Familiarity with AI/ML architectures, accelerators, and supporting software stacks

$ - $ a year. Additional compensation may include benefits, bonuses and equity.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.