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Micron Technology
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Artificial Intelligence • Hardware • Information Technology • Machine Learning
As a Principal Engineer, you will lead the design and development of complex ASICs for high bandwidth memories, manage a layout team, and ensure project success through collaboration and technical expertise.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Principal Engineer leads the HIG HBM Team in designing complex ASICs for high bandwidth memories, focusing on layout design, team leadership, and project management, while ensuring product specifications are met.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The role involves yield data analysis in semiconductor manufacturing, resolving yield issues, and collaborating across teams to improve processes.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The QE Engineer will improve process conditions, reduce production costs, set process parameters for semiconductor equipment, and analyze abnormalities.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
As a Principal Engineer in the HIG HBM Team, you will design Application-Specific Integrated Circuits for High Bandwidth Memories, lead layout teams, manage projects, and contribute to innovative semiconductor technologies for AI and HPC applications.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead process integration and development of advanced DRAM technologies from concept through silicon implementation and productization. Design experiments to assess device performance, variability, reliability, and failure mechanisms; collaborate across engineering and materials teams to optimize process flows; and drive yield improvement using inline, defect, parametric, and probe data. The role requires deep expertise in semiconductor processing, memory technologies, device physics, and experimental data analysis.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads system-level validation, integration, and qualification of enterprise and datacenter NVMe SSDs. Directs test plans, system bring-up, OS and driver validation, failure analysis, customer joint qualification, and issue reproduction. Develops Python automation and AI-enabled validation workflows to improve coverage and efficiency. Collaborates with firmware, hardware, manufacturing, product, and customer engineering teams while mentoring engineers and ensuring production readiness.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads a semiconductor process engineering team responsible for yield, quality, cycle time, cost, output, process stability, and technology deployment. Drives process optimization, statistical process control, root-cause investigations, defect reduction, change management, risk mitigation, tool qualification, technology transfer, and manufacturing ramp activities. Partners cross-functionally with manufacturing, equipment, facilities, quality, central teams, suppliers, and vendors while developing engineering talent and applying AI to improve performance.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
MBA intern supporting CDBU marketing initiatives through market and opportunity assessments, customer-facing solution narratives, vertical playbooks, and go-to-market recommendations. The role analyzes market trends, customer segments, workloads, ecosystems, and whitespace opportunities; translates technical capabilities into business value; uses AI tools for research and content development; and leads an internship project through executive presentation and handoff.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Join Micron as a Semiconductor Engineer to improve production processes and workflows in a team-focused, supportive environment. No prior experience needed.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Micron Technology is seeking individuals who have taken a career break and have semiconductor experience, offering training, mentor support, and workshops for job reentry.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Supports semiconductor wafer manufacturing by monitoring equipment and process indicators, troubleshooting abnormalities, reviewing production data, conducting process tests, and improving yield, quality, and efficiency. The role requires collaboration with engineering and production teams, accurate documentation, data visualization, safety compliance, cleanroom work, and flexible 12-hour night-shift availability.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads the embedded DRAM product line, coordinating P&L, revenue growth, market share, profitability, pricing, supply and demand, product strategy, and go-to-market execution across Automotive, Industrial, and Consumer markets. Partners with engineering, quality, technology development, customers, and global teams to launch differentiated products, resolve qualification and production issues, develop node longevity strategies, and drive demand creation. Requires extensive semiconductor and DRAM market expertise, marketing leadership, and business acumen.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Provide high-touch IT support to executives across office, travel, and home environments. Diagnose and resolve hardware, software, mobile-device, operating-system, and video-conferencing issues across Windows and macOS. Manage support queues, installations, break/fix work, documentation, knowledge resources, and asset tracking. Build strong client relationships, communicate technical concepts clearly, support AI tools and security policies, and provide independent on-call and after-hours support in an on-site environment.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Coordinates semiconductor manufacturing deviation evaluations, root cause analysis, corrective actions, documentation, and lessons learned. Validates data-supported root causes, improves event response and detection methods, reports excursion performance, facilitates reviews, and promotes quality culture through training and engagement programs. The role also supports continuous improvement and responsible use of AI-enabled tools.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads global EHSS solution programs from discovery through deployment and stabilization, initially focused on Health and Safety. Translates operational and regulatory needs into requirements, processes, UAT plans and delivery programs; coordinates business teams, IT, vendors and implementation partners; establishes governance, manages risks and dependencies, drives business acceptance, and evaluates AI, automation, analytics and enterprise platforms to improve EHSS outcomes.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Supports major global technology customers by qualifying leads, coordinating executive and architecture engagements, managing commercial updates and escalations, and aligning shipment priorities with revenue goals. The role maintains operating standards, manages quoting and RFQ workflows, tracks demand and supply commitments, and delivers executive-ready communications in complex semiconductor and hyperscaler environments.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Supports global HR services transformation initiatives focused on AI, automation, productivity, and digital service delivery. Coordinates project execution, requirements, testing, rollout, stakeholder adoption, process optimization, documentation, reporting, and continuous improvement. Partners with HR teams, technology groups, and vendors while tracking productivity, experience, and adoption outcomes.
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads NAND and NAND-based system product engineering, qualification, validation, and failure analysis. Develops automation infrastructure, scripting, AI-enabled workflows, and analytics to accelerate product development and debug. Partners with design, technology, system, and development teams to resolve electrical, physical, manufacturing, and customer-return failures. Requires deep NAND and storage expertise, hardware knowledge, software development proficiency, and at least 10 years of related experience.
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Artificial Intelligence • Hardware • Information Technology • Machine Learning
Drives HBM package product engineering, assembly and cube yield improvement, DPM reduction, cumulative yield ownership, and resolution of packaging quality and RMA issues. Leads process conversions, failure analysis, cross-functional manufacturing initiatives, technical decisions, and AI/ML projects focused on quality, cost, cycle time, and scale. Requires collaboration with global semiconductor, packaging, design, reliability, and manufacturing teams, including international travel.
