Top Engineering Jobs

Conducts technical tests in semiconductor manufacturing, sets up processes, mentors operators, analyzes performance, and troubleshoots equipment.

Lead development of DRAM digital and mixed-signal IP, managing the RTL design lifecycle from architecture to silicon-ready signoff, focusing on power, performance, and area targets.

Lead semiconductor metrology process setup and improvement: establish/modify process conditions, set equipment parameters, upgrade capability, reduce production cost, evaluate and plan new equipment/materials, and analyze and correct abnormalities.

Lead global standardization of manufacturing engineering practices, drive operational efficiency, and collaborate across multicultural teams to enhance productivity and process improvement.

The role involves developing and maintaining test programs for HBM component validation, optimizing test strategies, coaching engineers, and ensuring the quality and stability of testing infrastructure across teams.

The role involves providing engineering support for the planning, development, and maintenance of mechanical systems in semiconductor facilities, enhancing system performance and sustainability.

Lead optimization of EUV photolithography track processes, equipment, and materials to improve yield, quality, and cost across global manufacturing sites. Define BKMs and benchmarks, support tool qualification and startups, partner with suppliers and procurement for cost savings, drive defect reduction via data analysis and DOE, and mentor other engineers.

Lead process integration for semiconductor modules, optimize integration structures, diagnose non-uniformity, and drive global project execution to enhance production efficiency and yield.

The Senior Dry Etch Equipment Engineer is responsible for the installation, maintenance, and optimization of dry etch equipment, collaborating with teams to improve manufacturing processes and product quality.

PhD-level intern will support semiconductor process development through experimental design, process optimization, root-cause analysis, and data-driven decision-making. Collaborate with process and equipment teams, apply statistical and AI-enabled analysis tools, conduct research for next-generation memory technologies, and present results to technical leadership.