Senior Manager, Supplier Quality Engineering

Reposted 3 Hours Ago
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Santa Clara, CA, USA
In-Office
208K-328K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead a team of Supplier Quality Engineers, ensuring high quality standards for AI systems, and collaborating with various internal and external teams to manage manufacturer quality performance and continuous improvements.
Summary Generated by Built In

NVIDIA is looking for an experienced senior manager to lead a team of PCBA factory Supplier Quality Engineers (SQE) in the North America region. The successful candidate will play a pivotal role in ensuring the highest quality of our complex AI systems. Your primary responsibility will be to represent all aspects of NVIDIA's AI hardware quality interests and to lead a high performing team of Quality engineers. You'll work with teams such as hardware engineering, product engineering, product quality engineering, supplier and commodity management to raise the supplier's quality bar and to drive continuous improvements. As an NVIDIAN, you’ll be immersed in a diverse environment where everyone is encouraged to do their best work. 

What you will be doing:

  • Manage a team of experienced quality engineers to bring up and manage NVIDIAs manufacturing sites.

  • Collaborate closely with manufacturing partners to ensure compliance with NVIDIA's unique Quality standards. 

  • Manage manufacturing partners Quality performance through audits, Quality critical metric management, QBR/QQRs.

  • Lead complex quality excursion management, and new site/supplier qualification.

  • Cooperate with internal teams, including process, assembly, test, reliability, customer quality as main factory quality interface.

  • Develop quality management strategy and identify risks in early product phase.

  • Drive global Quality process harmonization and cross-function/cross-site initiatives.

What we need to see:

  • MS degree in mechanical, electrical, industrial engineering or a related engineering degree, or equivalent experience.

  • 12+ overall years of quality engineering experience of which 5+ years as a people manager

  • Extensive experience in large volume PCBA, tray and rack manufacturing for datacenter/server/networking/liquid cooled AI products (L6-L11) either as an OEM or as a CSP.

  • Practical experience in the effective use of Quality core tools (eg 8D, 5-Why, 6S, FMEA, SPC, MSA, Six Sigma/Lean, MRB, QBR).

  • Exemplary communication and proven problem solving skills, including data analytics, logical and statistical analysis, and oral presentation.

 

Ways to stand out from the crowd:

  • Thrive in a fast moving, daring and highly multi-functional environment. 

  • Tight-knit collaboration experience and leading by example. 

  • A track record of strong ownership for complex quality issues with a bias for action. 

  • Experience with US-based compute system manufacturing supply chains 

  • High-functioning, self-motivated, self-managed, with a passion for innovative AI technology and manufacturing. 

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers, and we have some of the most forward-thinking and hardworking people in the world working for us. Due to outstanding growth, our best-in-class teams are rapidly growing so if you're creative and autonomous with a real 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 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 23, 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

  • MS degree in mechanical, electrical, industrial engineering or a related engineering degree, or equivalent experience
  • 12+ years of quality engineering experience of which 5+ years as a people manager
  • Extensive experience in large volume PCBA, tray and rack manufacturing for datacenter/server/networking/liquid cooled AI products
  • Practical experience in the effective use of Quality core tools
  • Exemplary communication and proven problem solving skills, including data analytics

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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