Role at a glance
- Salary
- $116K – $184K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years working experience.
- Education
- Bachelor’s degree in Electronic Engineering or related fields, Master’s degree is preferred, or equivalent experience.
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Product Quality Engineer will lead failure analysis for NVIDIA system products throughout the product life cycle, focusing on Data Center compute trays and compute modules. The role works with engineering, manufacturing, and other cross-functional groups to resolve customer and product issues and drive quality improvements through data analysis, corrective measures, process control, and defect prevention.
What You'll Do
- Identify and analyze customer-reported technical issues for Data Center compute trays and compute modules.
- Conduct system-level and board-level failure analysis on field failures, identify root causes, and provide risk assessments.
- Interact with engineering and manufacturing groups to resolve critical product and customer issues.
- Analyze quality data to identify improvement opportunities and implement corrective measures and defect prevention.
- Generate periodic quality reports, detect subtle trends, and report quality concerns.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s degree in Electronic Engineering or related fields; 5+ years working experience; hands-on experience in PCB level hardware verification/debug and signal integrity measurement; strong analytical and problem-solving skills; familiarity with Linux systems and Linux Shell Scripts; good command of English in both written and spoken.
Required
- Bachelor’s degree in Electronic Engineering or related fields, or equivalent experience
- 5+ years working experience
- Hands-on experience in PCB level hardware verification/debug and signal integrity measurement
- Strong analytical and problem-solving skills
- Understanding of troubleshooting concepts including design of experiments, root cause analysis and statistical process control
- Familiarity with Linux system and Linux Shell Scripts
- Good command of English in both written and spoken
- Good communication and documentation skills
Preferred
- Master’s degree
- Experience with board level schematic and PCB layout design
- Knowledge of AI chips and memory devices
- Knowledge of quality and reliability concepts as well as manufacturing operations
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
We are looking for a Product Quality Engineer to join our team leading all aspects of failure analysis for NVIDIA’s system product segment throughout the life of the product. You will greatly influence quality across the company through interactions with internal and external engineering groups. The ideal candidate will have excellent analytical skills with a strong structured problem-solving background and proven experience in failure root cause resolution. Your hands-on failure analytical skills and strong quality mindset are essential as you will be working to drive NVIDIA System products quality improvement initiatives and programs.
What you’ll be doing:
Identify and analyze customer reported technical issues for Data Center compute tray and compute modules.
Conduct system level, board level failure analysis on field failures to identify the root cause and provide risk assessment.
Interact with functional groups like engineering, manufacturing to address and resolve critical product and customer issues, provide quality improvement solution.
Analyze quality data to identify improvement opportunities and work with cross functional teams to implement corrective measures and defect prevention with a focus on process control and error proofing.
Perform data analysis to generate periodic quality report, detect subtle trends and report quality concerns.
What we need to see:
Bachelor’s degree in Electronic Engineering or related fields, Master’s degree is preferred, or equivalent experience.
5+ years working experience. Hands-on experience in PCB level hardware verification/debug and signal integrity measurement.
Experience with board level schematic and PCB layout design is preferred
Strong analytical and problem-solving skills, solid understanding of trouble-shooting concept including design of experiments, root cause analysis and statistical process control.
Familiar with Linux system and Linux Shell Scripts.
Knowledge of AI chips and memory devices is a plus.
Knowledge of quality and reliability concepts as well as manufacturing operations is a plus.
Good command of English in both written and spoken. And good communication and documentation skills.
High sense of responsibility, self-motivated, good team player.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous, with a genuine passion for technology? 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 116,000 USD - 184,000 USD.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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.