Foundry Development Engineer at NVIDIA

Hsinchu, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Semiconductor manufacturing, CMOS logic, Data analysis, Problem-solving, Device physics, Statistical process control, Yield management, Python, JMP, Tableau, Yield explorer, Exensio, Project management, Communication, Wafer manufacturing

Industry

Computer Hardware Manufacturing

Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: 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. 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. What we need to see: 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. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Lead foundry engineering activities to optimize product performance, power efficiency, yield, and reliability for high-volume CMOS logic products. Collaborate with cross-functional teams and foundry suppliers to analyze data, identify limiting factors, and standardize methodologies.