Top Tech Jobs & Startup Jobs

Partners with HBM and Richardson site leaders to translate business priorities into people strategies, workforce plans, and talent actions. Advises leaders and employees on HR policies, organizational effectiveness, performance, change management, engagement, and development. Uses workforce data, employee insights, and AI to identify organizational trends and risks. Coordinates with HR centers of excellence and supports onboarding, retention, culture initiatives, communications, employee resource groups, and site growth.

Leads strategic initiatives, cross-functional programs, labor efficiency efforts, workforce planning, and organizational transformation for Manufacturing Engineering. Develops executive dashboards, scorecards, automated reporting systems, and business intelligence tools using data-driven insights. Coordinates stakeholders, facilitates decisions, tracks commitments, and drives AI adoption and workflow improvements that enhance operational efficiency.

Supports DRAM platform bring-up, validation, characterization, debugging, and reliability analysis across server, client, and mobile systems. Analyzes engineering and customer data, builds dashboards and reports, and develops Python-based automation and testing tools. Collaborates with hardware, firmware, systems, validation, and analytics engineers while using AI-assisted development tools to investigate customer issues and next-generation DRAM features.

Implement and integrate Design for Test features across HBM core and base die designs. Contribute to DFT specifications, verification coverage, manufacturing test requirements, tape-out, silicon bring-up, qualification, debugging, and methodology standardization. Collaborate with design, product engineering, test, verification, and architecture teams while documenting implementations and supporting assigned programs under mentorship.

Analyze semiconductor electrical, parametric, and fab data to identify yield-impacting design, process, test, and device issues. Develop yield-analysis tools and machine-learning models to predict end-of-line performance, detect failure mechanisms, and improve manufacturing processes. Collaborate with R&D and manufacturing teams, lead troubleshooting efforts, standardize analysis procedures, report experimental results, and support product transfers between R&D and manufacturing sites.

Leads Micron’s Architecture and Hardware team in developing next-generation memory and storage systems. Responsibilities include digital and analog circuit design, simulation, verification, silicon validation, floor planning, layout optimization, parasitic analysis, tape-out, AI-assisted design automation, technical leadership, cross-functional collaboration, and mentoring engineers.

Develop and maintain quality systems, monitoring strategies, and best-known methods for semiconductor defect analysis and metrology operations. Analyze quality metrics, SPC compliance, and wafer-at-risk events; support excursion mitigation, FMEA, sampling, audits, and corrective actions. Collaborate with manufacturing, process, yield, data science, and global teams to improve quality and transfer technology into high-volume manufacturing. Apply AI-enabled analytics to identify trends, improve process monitoring, and support data-driven decisions.

The Sr. Dry Etch Equipment Engineer leads reliability and performance improvements for Dry Etch tools, troubleshooting issues, and driving initiatives for yield and cost reduction in semiconductor manufacturing.

Intern supports photomask manufacturing by analyzing production data, investigating defects and process issues, applying SEM/EDX and SPC methods, developing automation and AI solutions, and recommending improvements to quality, cycle time, and engineering efficiency.

Supports DRAM platform bring-up, validation, characterization, and debugging across server, client, and mobile systems. Analyzes customer and system data for performance and reliability trends, develops Python-based automation tools and dashboards, and collaborates on DRAM reliability, fault management, and RAS initiatives. Uses AI-assisted development tools to improve coding, debugging, documentation, and engineering workflows while working with cross-functional engineering teams.