Supplier Quality Engineer

Reposted 21 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
116K-236K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Supplier Quality Engineer will manage component quality, lead failure analysis, track KPIs, and ensure supplier alignment for new product readiness, working closely with internal and external teams.
Summary Generated by Built In

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.

Applications for this job will be accepted at least until May 3, 2026.

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

  • B.Sc. or M.Sc. in Engineering or equivalent experience
  • 5+ years 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

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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