Join NVIDIA's dynamic team as a Foundry Development Engineer! We are on the lookout for a talented, innovative, and driven individual to lead the charge in high-volume, rapid wafer production. Dive into the cutting-edge world of CMOS logic technologies and help us shape the future of tech. If you are enthusiastic about pushing boundaries and making an impact on the fascinating AI world, this is the opportunity for you!
What you will be doing:
Manage foundry suppliers to ensure seamless wafer production and delivery from NPI to HVM.
Optimize device performance, improve yield, conduct WAT analysis, and manage process/fab qualification.
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 customer return investigation.
Collaborate with cross-functional teams to ensure products meet performance, power, yield, and reliability/quality goals.
Standardize and automate data, procedures, and methodologies across foundries and internal teams to improve operational efficiency.
Develop advanced solutions to enhance foundry management, improve DPPM, streamline problem resolution, and increase the accuracy of yield and device projections.
Look for innovative ways to improve current job functions and explore new methods and technologies that can foster team growth and innovation.
What we need to see:
BS in EE, Physics, Materials Science, or equivalent experience, with an MS or PhD preferred.
8+ years of proven experience in semiconductor wafer manufacturing
Self-motivation with strong technical, interpersonal, and communication skills.
Familiarity with FinFET device physics, CMOS logic process technology, and SPC control.
Excellent engineering data analysis and presentation skills.
Constantly seek ways to innovate by improving current job functions through adopting the latest technologies for greater efficiency, or by exploring opportunities beyond the current job scope to drive team growth and innovation.
Ways to stand out from the crowd:
MS/PhD in EE, Physics, or Material Science.
Direct working experience at or with foundry suppliers using advanced CMOS logic technologies.
Experience in new product introduction and Tapeout/device/yield/QUAL analysis process.
Proficiency in data analysis and report generation with large datasets, including scripting language skills such as JSL and Python.
Expertise in JMP.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS in EE, Physics, Materials Science or equivalent experience
- MS or PhD in EE, Physics, or Materials Science
- 8+ years proven experience in semiconductor wafer manufacturing
- Strong technical, interpersonal, and communication skills
- Familiarity with FinFET device physics, CMOS logic process technology, and SPC control
- Excellent engineering data analysis and presentation skills
- Direct working experience at or with foundry suppliers using advanced CMOS logic technologies
- Experience in new product introduction and Tapeout/device/yield/QUAL analysis process
- Proficiency in scripting languages such as JSL and Python
- Expertise in JMP
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
