# Foundry Engineering Yield Enhancement Engineer

**Company**: NVIDIA
**Location**: Hsinchu
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Taiwan-Hsinchu/Foundry-Engineering-Yield-Enhancement-Engineer_JR2015702?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9b83cdb7-c27

## Description

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.

Key responsibilities include:

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

- Identifying and eliminating systematic yield limiters using statistically significant, production-scale data including in-line physical, scribe electrical, and in-die electrical

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

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

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

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

- Defining, tracking, and improving key metrics for diagnosis coverage, diagnosis quality, turnaround time, and PFA effectiveness across CP, FT, and downstream flows

- Using 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

Requirements include:

- 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

Preferred qualifications include:

- 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

## Skills

### Required
- semiconductor yield engineering
- product engineering
- process engineering
- failure analysis
- Volume Diagnostics
- semiconductor device physics
- process technologies
- test methodologies
- large-scale data analysis

### Nice to have
- Python
- JSL
- direct-to-PFA workflows

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Taiwan-Hsinchu/Foundry-Engineering-Yield-Enhancement-Engineer_JR2015702?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)