Staff Systems Engineer, AI Solutions
Core
Define memory and storage requirements for embedded systems with a 3–5 year technology horizon and guide product strategy for AI inference at the edge.
Role type
Staff Systems Architect (embedded memory and storage)
Builds
Next-generation automotive, industrial, and consumer systems powered by embedded memory and storage
Domain
Semiconductor industry, embedded systems, automotive, edge AI
Deliverable
product features
Required skills
System architecture, product definition, embedded system architectures, SoCs, memory and storage usage, cross-functional team collaboration, technical influencing
Preferred skills
Automotive/autonomous driving/robotics experience, DDR/LPDDR/NAND/eMMC/UFS/SSD knowledge, hardware performance evaluation for AI inference, AI/ML architectures and accelerators
Technologies
DDR, LPDDR, NAND, eMMC, UFS, SSD, SoCs, AI/ML accelerators
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
Seniority
Staff, strategy & mentorship
