Responsibilities

AI Platform Enablement: Lead SSD enablement and qualification activities for next-generation NVIDIA, AMD, and other strategic AI/compute platforms from early engineering engagement through production readiness.
NPI Execution: Own SSD sample planning, allocation, qualification schedules, validation milestones, issue tracking, and launch readiness for major platform NPI programs.
Customer Technical Engagement: Serve as the primary technical interface for platform qualification and integration activities, working directly with customer engineering and validation teams.
System Validation & Issue Resolution: Coordinate system-level testing and drive cross-functional resolution of SSD, PCIe/NVMe, firmware, thermal, power, performance, and interoperability issues identified during platform qualification.
Internal Program Coordination: Align product planning, firmware, controller, hardware, validation, quality, FAE, and operations teams to ensure timely delivery of samples, fixes, and qualification requirements.
Platform Requirement Management: Capture and communicate platform-specific requirements, validation criteria, design constraints, and qualification feedback to internal product and engineering organizations.
Emerging Application Incubation: Identify emerging AI storage workloads and applications, evaluate their technical requirements, and drive early feasibility studies, benchmarking, and proof-of-concept activities.
New Opportunity Development: Explore new storage opportunities related to AI inference, KV cache and context storage, memory extension, checkpointing, GPU-direct I/O, agentic AI, and other emerging data-intensive workloads.
Competitive & Ecosystem Analysis: Monitor AI platform evolution, storage architectures, competitor activities, and ecosystem trends to identify potential technology gaps and new product opportunities.
Executive & Program Reporting: Provide clear visibility into platform status, qualification risks, technical issues, customer requirements, and emerging opportunities to internal leadership and cross-functional stakeholders.
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field with 10+ years experience or a Master’s degree with 8+ years experience or a PhD with 5+ years experience.
Minimum of 5+ years of experience in enterprise SSD, server platform, storage system, semiconductor, or data center infrastructure engineering.

Staff Engineer, AI Platform Enablement and Emerging Applications at Samsung Semiconductor · LumiJobs

Staff Engineer, AI Platform Enablement and Emerging Applications

Responsibilities

Benefits

Company

Samsung Semiconductor

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