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.

We are seeking a Foundry Engineering Yield Enhancement Engineer to help drive systematic yield improvement for NVIDIA’s most advanced silicon products through Volume Diagnostics, scalable failure analysis, and foundry corrective actions. This role sits at the intersection of foundry engineering, test, failure analysis, and data science, with direct impact on product ramps measured in the many thousands of wafers.

What You’ll Be Doing:

• Lead foundry-facing product enhancement efforts to achieve performance, power, yield, reliability, and quality entitlement for high-volume products in advanced CMOS nodes

• Identify and eliminate systematic yield limiters using statistically significant, production-scale data including in-line physical, scribe electrical, and in-die electrical

• Collaborate cross-functionally (test, DFT, product engineering) to understand entitlement gaps and drive alignment through influence rather than direct authority

• Develop and deploy Volume Diagnostics across CP, FT, burn-in, and SLT to enable statistically meaningful failure Paretos at every test insertion

• Drive volume fail logging, selective diagnostic flows, and automated log processing to enable rapid diagnosis without disrupting production throughput

• Own data, diagnosis, and PFA throughput and quality metrics, ensuring Volume Diagnostics outputs are usable at scale for foundry yield debug and product ramp

• Define, track, and improve key metrics for diagnosis coverage, diagnosis quality, turnaround time, and PFA effectiveness across CP, FT, and downstream flows

• Use Volume Diagnostics and SW-based failure analysis to enable high-confidence Direct-to-PFA, translating diagnostic insight into foundry process changes with measurable yield, reliability, and quality impact

What We Need to See:

• 7+ years of experience in semiconductor yield engineering, product engineering, process engineering, or failure analysis

• Direct working experience with advanced-node silicon foundries

• Strong foundation in semiconductor device physics, process technologies, test methodologies, and large-scale data analysis

• Demonstrated data-driven problem solving, cross-functional leadership, and execution in high-volume manufacturing environments

Ways to Stand Out from the Crowd:

• Experience building or operating Volume Diagnostics systems in production environments

• Strong scripting and data skills (Python, JSL)

• Proven track record of converting diagnostic insight into measurable yield, performance, power, reliability, and quality gains through foundry process changes

• Experience enabling direct-to-PFA workflows

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.

#LI-Hybrid