Top Engineering Jobs

Leads Micron’s global DRAM packaging organization, defining long-term technology strategy and delivering advanced packaging solutions including HBM, 3D integration, heterogeneous integration, and chiplets. The role oversees cross-functional product development through high-volume manufacturing, drives technology investments, develops customer and supplier partnerships, and leads digital transformation using AI, analytics, automation, and engineering productivity initiatives. It also requires building high-performing global teams and influencing business and technology direction.

Design and develop IC package layouts for memory, storage, and ASIC products. Responsibilities include substrate and PCB layout, library and footprint creation, design verification, documentation, DRC, manufacturability validation, and collaboration with cross-functional engineering teams. The role also supports design automation and AI-enabled, data-driven engineering workflows. It is intended for recent graduates with engineering degrees and offers hands-on experience in semiconductor package design.

Design, develop, and maintain manufacturing scheduling and automation systems. Analyze production data, build ETL pipelines, dashboards, and reports, apply simulation and statistical methods to optimize throughput and cycle time, investigate root causes, support 24/7 systems on-call, and lead cross-functional projects to improve fab performance.

Lead system-level validation, integration, and qualification of enterprise and datacenter NVMe SSDs. Develop validation strategies, execute firmware, hardware, OS, driver, networking, and platform testing, and perform system bring-up and root-cause analysis. Support customer joint qualification, reproduce field issues, expand test coverage, and develop Python-based automation. Coordinate with engineering, manufacturing, and customer teams while mentoring engineers and improving product readiness and testability.

Designs, develops, integrates, tests, and troubleshoots electrical systems for semiconductor manufacturing and test equipment. Responsibilities include power distribution, circuit analysis, component selection, schematics, wiring diagrams, bills of materials, design validation, risk assessments, engineering changes, and system integration. The role also applies AI-assisted and generative AI tools to engineering documentation, technical analysis, troubleshooting, and process improvement.

Lead silicon debug and product quality for HBM products, influencing design decisions and ensuring system stability across customer platforms. Drive continuous improvement through technical leadership and cross-functional collaboration.

Establish and improve semiconductor process conditions, equipment parameters, and process capabilities. The engineer will reduce production costs, manage process improvement projects, evaluate new equipment and materials, analyze abnormalities, and maintain quality and safety standards. The role also uses AI-enabled tools and data analytics to improve failure analysis, accelerate root-cause identification, and enhance reporting.

Develops and optimizes semiconductor manufacturing process control systems to improve yield, quality, reliability, productivity, and cost. Responsibilities include data analysis, process modeling, SPC/APC/FDC implementation, smart manufacturing integration, process qualification, failure analysis, supplier collaboration, training, and technical oversight. The role applies machine learning, AI, IIoT, and deep learning to create network-wide manufacturing control solutions.

Leads a Yield Analysis team responsible for improving semiconductor fab yield, quality, yield ramps, and manufacturing performance. Establishes KPIs, forecasts, dashboards, and operating mechanisms; applies model-based problem solving, root cause analysis, statistical validation, and corrective actions. Partners with process, failure analysis, quality, and manufacturing teams to resolve critical issues. Develops engineering talent and deploys automation, analytics, and AI-enabled solutions to improve yield and engineering effectiveness.

Sustain and optimize photomask BEOL manufacturing processes to improve quality, yield, reliability, and efficiency. Investigate process excursions, perform root cause analysis, implement corrective actions, collaborate with cross-functional engineering and manufacturing teams, and lead process characterization, qualification, technology transfer, and continuous improvement projects. Apply AI and generative AI tools to data analysis, documentation, troubleshooting, and process optimization with appropriate engineering validation.