Top Tech Jobs & Startup Jobs

Leads semiconductor product quality and reliability initiatives, including yield and quality investigations, failure analysis, silicon debug, qualification strategies, risk assessment, and corrective actions. Partners with engineering, manufacturing, reliability, and product teams to improve performance, yield, manufacturability, and customer outcomes. Establishes quality methodologies, mentors engineers, leads global technical programs, and contributes to patents, publications, and technical standards.

The technician is responsible for repairing, adjusting, and modifying electro-mechanical equipment used in manufacturing. Duties include using diagnostic equipment, dismantling, and rebuilding machinery as necessary.

Launch, design, develop, characterize, install, upgrade, and improve CMP/BOND semiconductor manufacturing equipment. Lead equipment setup, process capability improvements, cost reduction, parameter establishment, abnormality analysis, vendor collaboration, project management, technical documentation, and audit support while maintaining safety and quality standards.

Drive dry etch process and equipment performance using advanced data analytics, automation, machine learning, statistical modeling, and generative AI. Lead cross-functional initiatives integrating manufacturing, equipment, process, and business data. Develop scalable analytics solutions to improve productivity, tool utilization, cycle time, excursion response, process control, and manufacturing costs. Collaborate with suppliers and internal digital teams to evaluate and deploy AI technologies for semiconductor manufacturing.

Supports DRAM physical design and block-level PPA optimization using place-and-route tools. Responsibilities include floorplanning, placement, clock tree synthesis, routing, timing closure, power-performance-area benchmarking, static timing analysis, DRC, LVS, IR-drop analysis, and AI-enabled workflow automation.

Develops, supports, debugs, and improves semiconductor EDA tools and CAD flows for CMOS IC design, layout, simulation, and verification. Leads technical projects, guides AI/ML implementation in CAD workflows, develops CAD software, supports RTL-to-GDS processes, and trains end users. Collaborates with design and process teams while applying programming, software engineering, and semiconductor design expertise.

Leads semiconductor layout design for NAND memory products, including core, pitch, array, decoder, analog, digital, and periphery blocks. Performs chip-level integration, die-size calculations, floorplanning, design-rule verification, ECO/LCO/DFM tasks, debugging, and tape-out support. Coordinates with design, technology development, CAD, and layout teams to deliver quality work on schedule. Mentors junior engineers, allocates resources, develops issue-resolution methods, and drives layout innovation for future memory generations.

Designs and validates on-chip controllers and mixed-signal circuitry for NAND flash chips. Responsibilities include architecture development, product definition, transistor-level design, test planning, system integration, verification, RTL implementation, firmware development, and full-chip Verilog validation. The role requires expertise in Verilog, digital logic, analog circuits, mixed-mode design, verification CAD tools, and TCL or Perl.

Develop end-to-end data science and digital twin solutions for manufacturing, planning, and supply chain operations. Responsibilities include business problem framing, data analysis, mathematical optimization, discrete event simulation, software and pipeline development, API and UI creation, deployment, user adoption, benchmarking, and continuous improvement across global manufacturing sites.

Supports 24/7 semiconductor process development for DRAM technologies on a rotating shift schedule. Responsibilities include wafer disposition, tool release, process and equipment issue resolution, experimental execution, SPC and fault detection analysis, root-cause investigation, documentation, change control, and continuous improvement. The engineer collaborates across process development, equipment, manufacturing, and operations teams while applying automation, advanced analytics, AI, and data science to improve yield, workflow efficiency, and development learning cycles.