Foundry Development Engineer

We are seeking a skilled, creative, and highly motivated Foundry Development Engineer to lead the rapid ramp-up of high-volume products using advanced, industry-leading CMOS logic technologies.

The goal is to quickly achieve full entitlement for product performance, power efficiency, yield, and reliability/quality.

Responsibilities:

• Lead foundry engineering activities to drive product performance, power efficiency, yield, and reliability/quality to full entitlement
• Conduct in-depth analysis of product performance, power efficiency, yield, and reliability/quality data, correlating it with fab tools, processes, and WAT to identify limiting factors
• Collaborate with cross-functional teams to understand product performance, power efficiency, yield, and reliability/quality requirements and limiting factors
• Facilitate effective communication and manage engineering resources between NVIDIA and foundry suppliers
• Ensure high production quality control through inline monitoring, SPC review, DPPM reduction, and investigation of customer returns
• Standardizing and automating data, procedures, and methodologies across foundries and internal teams to improve operational efficiency
• Identifying innovative ways to improve current job functions and exploring new methods and technologies that can foster team growth and innovation

Requirements:

• BS in EE, Physics, Materials Science, or related degree, with an MS or PhD preferred
• 5+ years of proven experience in semiconductor wafer manufacturing (5+ years with an M.S. or Ph.D.)
• Deep data analytical, problem-solving, communication, and managerial skills
• Excellent understanding of semiconductor products, test methods, statistics, and data analysis
• Solid grasp of deep-sub micron device physics and advanced processes
• Able to organize and coordinate multi-discipline projects in timely
• Direct working experience with silicon foundries

Ways to stand out from the crowd:

• MS/PhD in EE, Physics, or Material Science, or related degree
• Proficiency in data analysis with large datasets, including scripting language skills such as JSL, Python
• Expertise in JMP, Tableau, Yield Explorer, Yield Insights, Exensio, or related