Samsung
Staff Engineer, SSD Storage and Systems Architecture
$163K–$253K
San Jose, California, United States · Staff · Full-time · Posted Sep 15, 2026
- Experience
- Bachelor’s: 10+ years; Master’s: 8+ years; PhD: 5+ years. Also requires a minimum of 10+ years of direct storage system architecture experience.
- 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
Designs next-generation enterprise and datacenter SSD architectures optimized for AI workloads, coordinating hardware-firmware development and hyperscaler requirements.
What you'll do
- Define AI-optimized SSD architectures and integrate Samsung controller, FTL, and NAND capabilities.
- Prototype and evaluate storage features, and collaborate with ASIC, firmware, and validation teams to address system bottlenecks.
- Architect AI datacenter storage solutions with hyperscalers and drive industry contributions and architectural patents.
What they ask for
- Bachelor’s degree in a related technical field and 10+ years of experience, or a Master’s degree and 8+ years, or a PhD and 5+ years.
- 10+ years of direct storage system architecture experience, including HDD architecture and caching, NAND flash, SSDs, and AI/ML data pipelines.
- Proven experience with OCP Datacenter NVMe SSD Specifications and HPC or GPU-accelerated hyperscale datacenters.
- Deep knowledge of PCIe/NVMe, GDS, FDP, ZNS, SSD controller architectures, and NVMe-oF, CXL, SAS/SATA/SCSI.
Nice to have
- Technical contributions to open-source storage/AI projects or demonstrated influence in the storage ecosystem.
Pay
$163,000 — $253,000 USD (base salary)
Tools
PyTorch, TensorFlow, CXL, NVMe, OCP, GPUDirect Storage (GDS), FDP, ZNS
AI focus
Designs storage architectures and features for AI training and inference, including data loading, checkpointing, AI caching, and data-preprocessing offload.
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