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Entry-level semiconductor engineering opportunities covering manufacturing, process and equipment engineering, technology development, quality, production engineering, and DRAM evaluation. Responsibilities include optimizing semiconductor processes and device structures, analyzing defects and performance, improving productivity and quality, maintaining production equipment, and evaluating prototype wafers and chips. Candidates need a science or engineering degree and strong analytical and problem-solving skills; semiconductor knowledge and English proficiency are not required.

Lead global dry-etch process and hardware improvement programs to boost productivity, yield, quality, and cost efficiency. Develop CIP roadmaps, partner with suppliers for tool qualification and start-up criteria, deploy IoT/FDC telemetry, and drive safety, sustainability, and chamber-health solutions across dry etch modules and fleets.

Develops and optimizes Plasma-CVD and thermal diffusion processes for advanced NAND Flash technology. Responsibilities include thin-film characterization, experimental design, data analysis, recipe development, process troubleshooting, defect and failure analysis, process transfer, pilot-line support, and yield improvement. The engineer collaborates with integration, metrology, manufacturing, equipment vendors, and other technical teams, while managing technical projects and supporting occasional travel, off-shift, and weekend operations.

Develops and optimizes CMP processes for advanced 3D NAND technology nodes. Responsibilities include process margin improvement, consumables and hardware evaluation, experimentation, manufacturability assessment, process monitoring and control, vendor collaboration, technical roadmapping, and leading complex multidisciplinary projects. The role also provides technical guidance, mentors engineers, supports yield and productivity improvements, and contributes to patents, technical papers, and AI-enabled workflow enhancements.

Develops and optimizes CMP processes for next-generation 3D NAND memory products. Responsibilities include process-margin improvement, consumables and hardware evaluation, experiment management, manufacturability testing, vendor collaboration, process monitoring and control, technology roadmapping, and leading complex multidisciplinary projects. The role also provides technical guidance, mentorship, management counsel, and innovation through patents and technical publications.

Leads strategic AI initiatives across semiconductor product and engineering organizations. Establishes program frameworks, manages timelines, dependencies, risks, and outcomes, aligns cross-functional teams, reports portfolio health to senior leadership, integrates AI requirements into product roadmaps, improves processes, and facilitates decision-making. Applies generative AI, LLMs, and agentic tools to enhance program workflows, reporting, and analysis.

Owns end-to-end semiconductor chip design programs from concept through tape-out and silicon bring-up. Coordinates architecture, RTL, verification, physical design, CAD, DFT, packaging, manufacturing, and validation teams across global sites. Manages schedules, dependencies, risks, change control, quality gates, executive reporting, and recovery plans. Drives predictable execution, process improvements, automation, and high-quality tape-outs while aligning engineering delivery with business outcomes.

Supports semiconductor-facility automation systems, including material handling equipment, conveyors, robots, PLCs, drives, sensors, and controllers. Participates in installation, commissioning, testing, project execution, troubleshooting, root cause analysis, preventive maintenance, documentation, and system sustainment. Coordinates with engineering, manufacturing, IT/MES, facilities, warehouse teams, vendors, and OEMs to resolve issues and improve automation reliability. Requires 2–3 years of automation experience and knowledge of electrical, mechanical, and controls systems.

Establish and improve semiconductor process conditions, capabilities, parameters, and management projects. Reduce production costs, evaluate and plan new equipment and materials, analyze abnormalities, and implement improvements. Use Copilot and AI-assisted tools to improve operational efficiency.

Develops automated validation and test solutions for enterprise SSD firmware, including functional, performance, stress, interoperability, and negative testing. Investigates regressions and field failures through root-cause analysis, enhances CI-based regression and reporting systems, and collaborates with firmware, hardware, and systems engineering teams. Applies Python, machine learning concepts, and AI-assisted development tools to improve testing, debugging, data analysis, and engineering productivity.