Staff Engineer, SSD Storage and Systems Architecture

Role details

Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. Samsung Semiconductor is seeking an industry-leading SSD Storage and System Architect with recognized technical influence to design and define our next-generation Enterprise, Datacenter (DC), and AI-optimized storage architectures. As AI/ML workloads explode, storage has become the primary bottleneck for data ingestion, checkpointing, and GPU utilization. This role focuses on the end-to-end design of high-performance storage systems, optimization of flash translation layers (FTL), and hardware-software co-design engineered specifically to accelerate AI training and inference. You will leverage your deep domain expertise to align system architecture with major hyperscale cloud vendor AI clusters while directly bridging the gap with Samsung's internal R&D teams to maximize the competitive edge, silicon efficiency, and performance synergy of Samsung's cutting-edge memory, CXL, and controller solutions. Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy with 10% of domestic travel. Reports to: Principal Engineer, R&D Product Development Planning What You’ll Do AI-Optimized Architecture Design: Define and model enterprise/DC SSD architectures optimized for massive parallel read paths required by AI data loaders (e.g., PyTorch, TensorFlow) and high-burst write paths for AI model checkpointing. Samsung Product Integration: Translate complex hardware, CXL, and controller constraints into optimized firmware architectures for Samsung’s enterprise SSD controller, FTL, and NAND flash subsystems. Cloud Infrastructure Alignment: Architect features tailored for hyperscaler AI infrastructure, matching specifications like Microsoft’s Azure AI Cloud storage architectures and Meta’s next-generation GPU-accelerated storage platforms. HW/FW Co-Design: Collaborate closely with ASIC design, firmware development, and validation teams to resolve cross-domain architectural bottlenecks in ultra-low latency environments. Technology Prototyping: Develop architectural simulators or FPGA prototypes to evaluate next-generation storage features, AI caching algorithms, and host-managed storage paradigms. Industry Influence & Innovation: Leverage an established technical network to align emerging system architectures with broader storage industry trends, open-source AI ecosystems, and storage standards (NVMe, OCP, SNIA). Strategic IP Creation: Drive the creation of foundational architectural patents in the domains of AI storage optimization and near-data processing to protect Samsung's system-level intellectual property. Hyperscale AI Engagement: Jointly architect next-generation AI datacenter deployment models (e.g., custom pooling, disaggregated storage, GPUDirect Storage [GDS] integrations, and Ethernet-attached SSDs) directly with lead architects from AWS, Google Cloud, Microsoft, and Meta. Advanced Feature Pioneering: Lead the architectural definition of advanced storage paradigms such as FDP (Flexible Data Placement), ZNS (Zoned Namespaces), and computational storage specifically tailored to offload AI data-preprocessing tasks. What You Bring 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 10+ years of direct experience in storage system architecture, including foundational hands-on experience with legacy HDD system architecture and caching algorithms alongside modern NAND flash, SSD architecture, and AI/ML data pipeline storage. Industry Influence: Verified track record of architectural leadership, technical contributions to open-source storage/AI projects, or technical influence within the broader storage ecosystem. Hyperscaler & AI Infrastructure Familiarity: Proven experience architecting or deploying storage systems that satisfy OCP Datacenter NVMe SSD Specifications and scale seamlessly within high-performance computing (HPC) or GPU-accelerated hyperscale datacenter environments. Protocol & Domain Mastery: Deep technical knowledge of PCIe/NVMe protocols, specialized enterprise features like GPUDirect Storage (GDS), FDP, ZNS, SSD controller internal architectures, and enterprise interfaces (NVMe-oF, CXL, SAS/SATA/SCSI). Samsung Portfolio Synergy: Ability to quickly master and leverage Samsung's proprietary controller capabilities, vertical NAND (V-NAND) characteristics, CXL innovations, and DRAM caching to maximize architectural efficiency for AI workloads. Communication Skills: Exceptional written and verbal English communication skills, with a proven ability to pitch complex architectural designs, author technical specs, and build consensus across multi-disciplinary global teams. Key Competencies System-Level Architecture Thinking: Ability to evaluate storage as part of the complete system architecture, considering compute, memory, interconnect, networking, local storage, and shared storage together. Workload-to-Requirement Translation: Ability to translate real application and AI workload behavior into clear storage architecture and SSD product requirements. Performance & Bottleneck Analysis: