Samsung
Staff Engineer, AI Platform Enablement and Emerging Applications
$163K–$253K
San Jose, California, United States · Staff · Full-time · Posted Sep 14, 2026
- Experience
- Bachelor’s degree: 10+ years; Master’s degree: 8+ years; PhD: 5+ years. Also requires a minimum of 5+ years in enterprise SSD, server platform, storage system, semiconductor, or data center infrastructure engineering.
- Education
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field; or a Master’s degree; or a PhD.
About the job
Leads SSD enablement and qualification for next-generation AI and compute platforms, while evaluating emerging AI storage applications and developing proof-of-concepts and product opportunities.
What you'll do
- Own SSD sample planning, qualification, validation, issue resolution, and production readiness for platform launches.
- Coordinate platform integration with customers and internal engineering, product, validation, quality, and operations teams.
- Evaluate emerging AI storage workloads through feasibility studies, benchmarking, and proof-of-concepts.
What they ask for
- At least 5 years of experience in enterprise SSD, server platform, storage system, semiconductor, or data center infrastructure engineering.
- Experience supporting server, accelerator, or data center platform qualification and NPI programs.
- Strong understanding of enterprise SSDs, PCIe, NVMe, server architecture, firmware, and system-level interoperability.
- Experience debugging complex system issues and coordinating across technical and customer teams.
Pay
$163,000–$253,000 USD (base salary)
Tools
SSD, PCIe, NVMe, firmware, GPU
AI focus
Enables SSDs on AI platforms and incubates storage applications for AI inference, KV cache and context storage, memory extension, checkpointing, GPU-direct I/O, and agentic AI.
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