Systems Quality and Reliability Lead - LPU

NVIDIA; Santa Clara (CA); On-site; USD 168,000 - 264,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Lead Systems Quality and Reliability Engineer to join our LPU team in Santa Clara, California. You will manage RMA and FA debug and analysis for AI/ML products, ensuring collaboration with various engineering teams.

The ideal candidate has 8+ years of experience in systems testing and validation, along with leadership abilities. The position offers a competitive salary and the opportunity for equity and benefits.

Qualifications

• 8+ years of hands-on systems test and/or validation engineering experience.
• Proven hands-on management and leadership experience.
• Strong knowledge of Fault isolation techniques.

Responsibilities

• Own, build, and manage RMA and FA debug and root-cause analysis.
• Conduct and lead debug and root-cause analysis of field RMAs.
• Create FA result reports that align with standard 8D.

Skills

Hands-on systems test and/or validation engineering

Management and leadership experience

Using lab equipment (oscilloscopes, logic analyzers)

Reliability tests (HTOL, Burn in)

FA techniques and tools (FIB, SEM, TDR)

Fault isolation techniques (OBIRCH, DLS/LADA)

High speed interfaces (SerDes, PCIe, DDR)

Proficiency in Python, PERL, C++

PCB card and system level test

Education

BS/MS in EE, Physics or related degree

Job description

We are seeking Lead Systems Quality and Reliability Engineer to join our LPU team!

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

What we need to see:

• BS/MS in EE, Physics or a related degree (or equivalent experience)

• 8+ yrs of hands on systems test and/or validation engineering experience

• Proven hands-on management and leadership experience

• 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

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 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

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.