NVIDIA has continuously reinvented itself over three decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, which only we can pursue, and which matter to the world. This is our life’s work: to amplify human inventiveness and intelligence. Make the choice to join us today. We are seeking an outstanding candidate for Silicon Reliability Engineer to drive and utilize cutting edge technologies to deliver high performance products while ensuring world class reliability.
What you will be doing:
Work closely with wafer foundries and various functional groups such as Design, Advanced Technology Group and Operations to develop process reliability requirements for new technology nodes.
Drive foundries for NVIDIA’s test vehicle qualifications and process reliability improvement before taping out new products and support product bring-ups and quals.
Perform wearout reliability assessments and provide reliability guidance to design teams for Design for Reliability on the next generation products.
Provide reliability Vmax, aging guardband guidelines to product teams and develop reliability methodology to optimize product reliability performance.
Collaborate with foundries to plan and perform stress tests and build reliability models for extrinsic failure mechanisms.
Interact with foundries for excursion materials and assess a reliability risk for disposition.
What we need to see:
Deep understanding of cutting-edge semiconductor process technologies, reliability physics, and acceleration models.
Familiar with wearout failure mechanisms (TDDB, BTI, HCI, EM, SM) and models, wafer level reliability tests, test structures, and industry standards (JEDEC, AEC).
Proficient in reliability statistics, and hands on experience in failure rate calculations for early life, useful life and wearout period of reliability life curve.
Good knowledge of semiconductor process defects/root causes, failure analysis and defect screening methodologies.
Solid understanding in reliability degradation mechanisms in logic and memory circuits.
Hands on skills in reliability data analysis, particularly using statistical tools such as JMP.
Excellent written and verbal communication, and presentation skills.
PhD or MS in Electrical Engineering, Physics, or a related major (or equivalent experience).
8+ years of overall experience in semiconductor reliability.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.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
- Deep understanding of semiconductor process technologies, reliability physics, and acceleration models.
- Familiarity with wearout failure mechanisms (TDDB, BTI, HCI, EM, SM), wafer-level reliability tests, test structures, and industry standards (JEDEC, AEC).
- Proficiency in reliability statistics and hands-on experience in failure rate calculations across early life, useful life, and wearout periods.
- Knowledge of semiconductor process defects, root cause analysis, failure analysis, and defect screening methodologies.
- Understanding of reliability degradation mechanisms in logic and memory circuits.
- Hands-on skills in reliability data analysis, particularly using statistical tools such as JMP.
- Excellent written and verbal communication and presentation skills.
- PhD or MS in Electrical Engineering, Physics, or a related major (or equivalent experience).
- 8+ years of overall experience in semiconductor reliability.
- Experience working closely with wafer foundries and cross-functional teams (Design, Advanced Technology Group, Operations).
- Experience with Design for Reliability (DfR) and providing reliability guidance to product/design teams.
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.”
