Top Tech Jobs & Startup Jobs

Leads memory market intelligence by building analyst and partner networks, gathering market signals, analyzing supply and demand trends, developing scenario models, and translating findings into executive-ready narratives. Partners with sales and marketing teams across AI, server infrastructure, PC, and consumer markets. Uses AI tools to synthesize multi-source data and tracks market share, pricing, and inventory trends. Requires substantial semiconductor industry experience and daily onsite work in San Jose.

Leads end-to-end design of advanced-node SRAM circuits, including bit cells, sense amplifiers, decoders, control circuits, custom layouts, and physical verification. Optimizes power, performance, area, yield, and manufacturability through simulation and variation analysis. Develops automation methodologies, supports test planning and silicon bring-up, mentors engineers, and contributes to patents and technical publications.

Manage a diverse workplace project portfolio, including capital, tenant improvement, and technical infrastructure projects, from initiation through closeout. Responsibilities include defining scope, budgets, schedules, risks, and resources; coordinating engineers, contractors, vendors, and stakeholders; overseeing compliance and delivery; producing portfolio reports and executive presentations; and improving PMO governance, templates, and processes.

Leads SSD enablement, qualification, validation, and production readiness for NVIDIA, AMD, and other AI platforms. Coordinates customer and internal engineering teams to resolve hardware, firmware, PCIe/NVMe, thermal, power, performance, and interoperability issues. Identifies emerging AI storage workloads, conducts feasibility studies and proof-of-concepts, evaluates ecosystem trends, and develops future product opportunities.

Leads storage industry standardization across NVMe, NVMe-oF, OCP, and SNIA; influences committees, drafts specifications, develops patents, and aligns hyperscaler requirements with Samsung SSD controller and firmware roadmaps. The role collaborates with cloud providers and internal R&D, monitors competitive standards activity, supports compliance testing, and produces customer-facing technical education materials.

Lead Samsung’s enterprise and datacenter storage technology roadmap by influencing NVMe, OCP, and SNIA standards. Draft technical specifications, represent Samsung in industry committees, secure patents, translate hyperscaler requirements into SSD controller and firmware features, and align internal R&D with compliance and product goals. Collaborate with major cloud providers on next-generation storage architectures, monitor competitors, and develop technical marketing and customer education materials.

Leads foundry sales growth by generating new accounts, managing customer relationships through onboarding, developing semiconductor solutions, coordinating technical pitches and RFI/RFQ responses, negotiating contracts, and overseeing sales operations. The role requires deep logic foundry and semiconductor industry expertise, complex deal-closing experience, executive relationship management, and cross-functional leadership across global teams.

Drive SSD business growth in AI infrastructure, NeoCloud, and software-defined storage markets. Build technical relationships with customers, analyze storage architectures, translate workloads into SSD requirements, and lead technical discussions, proofs of concept, evaluations, qualification, and design-ins. Collaborate with R&D, product marketing, sales, and application engineering to shape product roadmaps, develop business cases, monitor market trends, and identify strategic opportunities.

Own Samsung’s OPC modeling products by defining product specifications, descriptions, qualification criteria, and feature goals. Partner with R&D and headquarters product engineers on new development, technical requirements, support, acceptance testing, best practices, user guidance, and manuals. The role requires semiconductor and lithography expertise, programming and debugging skills, and daily onsite work in San Jose.

Develop and optimize trace-driven power and thermal simulation engines, integrate IP-level power macromodels into system-level flows, manage time-indexed simulations across power and thermal domains, generate transient power maps and spatiotemporal hotspot analysis, interface with reduced-order thermal models and CFD-calibrated solvers, and ensure simulation performance, scalability, and reproducibility.