Top Tech Jobs & Startup Jobs

Lead product marketing activities for DRAM and SSD server ecosystems: define positioning, pricing, and promotion; analyze market/customer/competitive data; support product lifecycle, roadmap planning, and global business planning; partner cross-functionally and maintain product data, dashboards, and materials.

Lead AI-driven smart manufacturing solutions across semiconductor operations, improving yield, quality, test coverage, and performance. Partner with engineering, quality, data science, machine learning, architecture, and data engineering teams to identify opportunities, define requirements, prioritize solutions, and deliver end-to-end projects. Manage Agile product development, establish success metrics, quantify business value and ROI, and drive digital transformation through production deployment.

Own and grow a strategic global OEM account by executing account plans, building senior customer relationships, managing multi-product pipelines, forecasting accurately, achieving revenue and margin goals, identifying strategic opportunities, and representing customer needs internally. The role requires cross-functional influence, global account management, technical sales expertise, CRM discipline, and proficiency with Microsoft Office and Salesforce.

Plan and forecast global data center and hybrid cloud capacity (compute, storage, network, power, cooling). Use AI-enabled tools, predictive analytics, and automation to optimize utilization, drive refresh and reclamation, manage lifecycle governance, produce executive reporting, and collaborate with cross-functional teams to align demand with infrastructure investment and readiness.

Owns digital physical design from synthesized netlist through GDSII for high-performance HBM products. Responsibilities include floorplanning, placement, clock-tree synthesis, routing, timing closure, power integrity, physical verification, ECOs, low-power implementation, and full-chip integration. The engineer collaborates with RTL, DFT, CAD, verification, and EDA vendors, while using TCL, Python, Perl, and shell scripting to improve design flows and methodology.

Supports marketing measurement and analytics by collecting, validating, and analyzing data from digital platforms, CRM systems, web analytics, surveys, and internal systems. Develops Power BI dashboards, scorecards, executive reports, visualizations, and KPI summaries. Identifies trends, risks, opportunities, and data quality issues, then provides actionable recommendations. Explores AI-enabled analytics and automation to improve reporting efficiency and insight generation.

Learn and operate defect detection equipment, analyze inline process signals, identify process anomalies, quarantine out-of-control tools, and drive semiconductor defectivity improvements. The engineer will perform root cause analysis, support experimentation, develop inspection techniques, establish health metrics, and collaborate with global manufacturing, process integration, process development, data science, and yield teams to transfer best practices across high-volume manufacturing sites.

Performs electrical, physical, and statistical failure analysis for next-generation HBM semiconductor products. Identifies component failure mechanisms, fabrication and assembly defects, and test-flow marginalities using characterization techniques, AI tools, and statistical analysis. Coordinates improvement efforts with Product, Process, Quality, and Test Engineering teams to support reliability, production ramp, and mass production. The role requires a bachelor’s degree in a relevant engineering or science field and at least five years of related experience.

Analyzes semiconductor defect data and equipment signals to identify root causes, improve yield, and reduce defects across advanced DRAM and HBM processes. The role applies device physics, DOE, SPC, metrology, FMEA, and advanced data analysis. Responsibilities include defining die-loss paretos, monitoring inline yield health, analyzing experiments, identifying process excursions, coordinating corrective actions, and communicating findings using JMP and Python.

Entry-level Process Integration Engineer responsible for optimizing semiconductor manufacturing processes, improving yield, cost, quality, and reliability, and supporting technology transfers for next-generation memory devices. Responsibilities include root cause analysis, DOE, trend monitoring, FMEA, 8D, SPC/FDC, process and material qualification, supplier audits, and cross-functional collaboration. The role requires international travel for technology transfer or training and may involve shifted schedules.