Top Engineering Jobs

Designs and improves semiconductor front-end process conditions and technologies, sets process parameters, upgrades process capability to reduce cost, evaluates and plans new equipment/materials, conducts abnormality analysis and implements improvements, and integrates AI-enabled tools to enhance efficiency and continuous improvement.

Performs electrical, physical, and statistical failure analysis for next-generation HBM products from development through production. Identifies defect mechanisms, analyzes component and system data, applies Python, statistical methods, JMP, and AI-enabled tools, and drives root-cause corrective actions. Collaborates with product, process, test, quality, and manufacturing engineering teams to resolve fabrication, assembly, and test issues, support product qualification, improve yield and reliability, and accelerate production ramp.

Develop and maintain environmental compliance programs covering air, water, stormwater, natural resources, and hazardous waste. Conduct inspections, audits, reporting, and corrective actions (ISO14001). Support construction projects and contractor compliance while coordinating regulatory interactions and ensuring site environmental obligations are met.

Perform semiconductor process engineering tasks: establish and improve process conditions, set equipment process parameters, upgrade capability and reduce costs, manage process projects, evaluate and plan new equipment and materials, and analyze and resolve abnormalities. Integrate AI-assisted tools and apply digital fluency to improve efficiency and continuous improvement.

Develop and validate High Bandwidth Memory products from design through qualification and production. Responsibilities include interpreting JEDEC specifications, documenting architectures, reviewing schematics and layouts, performing silicon validation, debugging hardware and software in the lab, running circuit simulations, analyzing data, collaborating across engineering and manufacturing teams, and improving validation methods and workflows.

Provides technical leadership for semiconductor assembly and test supplier quality. Leads supplier assessments, quality improvement projects, risk mitigation, complex investigations, root-cause analysis, corrective actions, process qualifications, technology transfers, and new product introductions. Establishes quality standards, governance, roadmaps, and advanced monitoring systems while partnering with engineering, manufacturing, procurement, reliability, and global suppliers. Applies statistical, reliability, data-driven, and AI-enabled methods to prevent defects and improve supplier performance.

Establishes and improves semiconductor process conditions, parameters, capability, quality, yield, productivity, and cost. Evaluates new equipment and materials, manages process changes, performs abnormality and failure analysis, and leads improvement projects. The role also coordinates with process and equipment engineers and material suppliers, supports audits and baseline qualification, and uses AI tools for information gathering, data analysis, documentation, and process improvement.

Lead and support photolithography efforts to solve overlay scribe challenges for memory devices: perform optical simulations, recommend mark designs, identify root causes, train engineers, define and lead projects, standardize procedures, work with vendors and process teams, report results, advise management, and integrate AI-assisted tools to improve efficiency.

Drive reticle quality, specifications, tapeout and fracture process optimization across global semiconductor manufacturing sites. Resolve reticle, OPC, metrology, and process integration issues; lead technical improvement projects; evaluate tool and process performance; standardize best-known methods; and apply automation, AI-enabled workflows, and analytics to improve quality, throughput, cycle time, and cost. Mentor engineers and support scalable high-volume manufacturing and technology transfer.

Analyze current and next-generation DRAM technologies across electrical, thermal, power, and performance dimensions. Identify design gaps, evaluate cost and efficiency tradeoffs, and provide recommendations influencing memory architecture and product strategy. Partner with architecture, firmware, validation, hardware, and business teams to drive alignment. Use AI tools for modeling and data analysis while providing technical leadership, mentorship, and guidance through Micron’s Technical Leadership Program.