NVIDIA is seeking a Supplier Quality Engineer responsible for working with NVIDIA's component suppliers to develop and implement world class supplier quality programs for our AI centric datacenter, automotive and consumer products. This is a meaningful role that will closely work with Hardware Engineering, Product Engineering, and Quality Engineering groups within NVIDIA, as well as our vendors and contract manufacturer partners. The ideal candidate will have stellar analytical skills with a deep rooted structured problem-solving background and show proven experience in failure analysis resolution. Coupled with strong grasps of NPI quality methodologies to bring up supplier quality metrics, this individual shall lead activities properly defining quality expectations at component level.
What you'll be doing:
Responsible for managing end-to-end component quality, working closely with suppliers and internal teams to assure new product readiness and ensure performance meets key quality and reliability metrics.
Establish and lead activities within internal and external teams to ensure proper definition of quality expectations appropriate for each mechanical component. Compile and evaluate data to understand acceptable limits of manufacturing process.
Drive component Failure Analysis activities, including: understanding component failures and defining FA goals, coordinating complete FA work at suppliers’ FA facilities, summarizing and presenting FA results, implementing Corrective Actions and lessons learned following 5-Why practice.
Develop continuous improvement plan with suppliers and track/reporting progress
Track supplier’s quality Key Performance Indicators closely
Prepare and present business review quality sections, manage process/product improvement changes, and lead quality audits at supplier sites.
Monitor supplier’s alignment to new product introduction schedules to ensure predictable and stable mass production volume ramp.
Quality representative to internal teams, supporting activities for customer quality and internal quality requirements.
Ability to travel domestically/internationally to supplier sites on as needed basis ~10-20%
What we need to see:
Hold a B.Sc. or M.Sc. in Engineering (Electrical engineering, Mechanical engineering, Manufacturing Engineering) or equivalent experience
5+ year’s relevant experience in a complex, high-volume manufacturing environment with audit experience
Strong knowledge of manufacturing techniques and process/quality controls for mechanical components.
Proven understanding of data driven, statistical QC and QA problem solving methodology
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 forward-thinking and hardworking people in the world working for us. If you're 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 for Level 3, and 148,000 USD - 235,750 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.
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.”
