We are seeking Systems Quality and Reliability Engineer to join our LPU team!
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence!
What you'll be doing:You will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new NVIDIA AI/ML products. You will conduct tests, and root-cause analysis. Other responsibilities include:
Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Systems Engineers, Hardware engineers, Software engineers, and operations engineers as required
Scale root cause FA capabilities within your organization
Create FA result reports that align with standard 8D or similar process
Analyze RMA, FA and repair data. Identify trends and raise quality alerts when necessary. Drive resolution, containment, and mitigation plans for such quality alerts
Oversee hardware quality performance, monitoring field quality data and associated metrics including RMA rates, MTBF, and Reliability Ratio
Manage operational perf of FA at CMs, ensuring partner achieve key perf indicators including FA cycle times, fault duplication rates and fault isolation rates
Oversee the setup of new products into Failure Analysis operations
BS/MS in EE, Physics or a related degree (or equivalent experience)
5+ yrs of hands on systems test and/or validation engineering experience
Proven hands-on experience in systems quality and reliability Engineer
Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers etc.
Experience with enabling reliability tests such as HTOL and quality tests such as Burn in
Ideal candidate will have working knowledge of FA techniques and tools such as FIB, SEM, TDR, VNA and CSAM
Strong knowledge of Fault isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI
Proficiency with high speed interfaces (SerDes, PCIe, DDR)
Proficiency in Python, PERL, C++, or other languages on UNIX /Linux
Excellent knowledge of PCB card and system level test and debug as well as be able to manage factory floor partners (CMs) for RMA/FA activities
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology?
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.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 a diverse 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/MS in EE, Physics or related degree (or equivalent experience)
- 5+ yrs of hands-on systems test and/or validation engineering experience
- Proven hands-on experience in systems quality and reliability engineering
- Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers
- Experience with enabling reliability tests such as HTOL and quality tests such as Burn in
- Working knowledge of FA techniques and tools such as FIB, SEM, TDR, VNA and CSAM
- Strong knowledge of Fault isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI
- Proficiency with high speed interfaces (SerDes, PCIe, DDR)
- Excellent knowledge of PCB card and system level test and debug
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.”
