Senior DFX Engineer, Volume Diagnosis - VLSI

Overview

• NVIDIA has been redefining computer graphics, gaming, and accelerated computing through a long history of innovation driven by outstanding technology and talent.
• As AI reshapes the future of computing, our GPUs are enabling intelligent systems across data center, robotics, automotive, and beyond.
• Join our VLSI team in Taiwan as an expert DFX specialist and play a key role in advancing silicon quality and production perfection.
• In this role, you will lead volume diagnosis and yield-learning strategies.
• These efforts improve manufacturability, accelerate root-cause identification, and guide corrective actions from bring-up through volume production and field return analysis.
• You will influence debug methodology, data-driven quality analysis, and coordinate multi-functional execution worldwide.
• This is an opportunity to work on technology at scale and directly influence how NVIDIA products achieve world-class quality in production.
• What you'll be doing Implement volume diagnosis using industry-standard diagnostic solutions to process fail logs, localize defects, and generate actionable analysis results.
• Drive yield improvement through data-driven debug, systematic defect Pareto analysis, and rapid feedback loops that convert diagnosis results into corrective actions for manufacturing and product teams.
• Partner with multi-functional teams worldwide across DFX, test engineering, operations, foundry, and failure-analysis participants to accelerate root-cause isolation and production issue resolution.
• Analyze production test and diagnosis data to discover yield limiters and improve test efficiency, silicon quality, and manufacturability.
• What we need to see Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience.
• 5+ years of experience in DFT, DFX, product engineering, silicon debug, yield engineering, or a closely related semiconductor field.
• Strong understanding of volume diagnosis, systematic defect analysis, and yield improvement in volume manufacturing.
• Hands-on experience with commercial diagnosis tools and production diagnosis flows, including fail-log processing, root-cause analysis, and using silicon data to improve yield, quality, and test efficiency.
• Collaboration and interpersonal skills for working across global engineering, operations, and manufacturing teams.
• Ways to stand out from the crowd Familiarity with physical failure analysis flows at chip foundries, including how software diagnosis guides direct-PFA candidate selection and defect localization.
• Knowledge of ATE, CP, FT, SLT, or board-level test flows and their impact on yield improvement.