Senior Manager, Product Reliability

Reposted One Month Ago
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Santa Clara, CA, USA
In-Office
256K-385K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead a team of product reliability engineers to define and execute end-to-end reliability strategy across product lifecycle. Drive reliability test planning, failure analysis, root cause investigations, risk mitigation, and reliability predictions. Partner cross-functionally and with ODMs/third-party labs to scale testing, improve robustness, and communicate reliability status to stakeholders and leadership.
Summary Generated by Built In

Joining NVIDIA means becoming part of a legacy of innovation that has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Manager, Product Reliability, you will be at the forefront of defining the next era of computing, driven by our groundbreaking AI technologies. This outstanding opportunity allows you to lead and build the future of our engineering projects, making a lasting impact on the world.

Our team in Santa Clara, CA, is dedicated to collaboration, innovation, and excellence. We are looking for passionate individuals who thrive in a dynamic environment and are eager to contribute to world-class projects. If you are ambitious and ready to take on new challenges, this role is perfect for you!

What you'll be doing:

  • Lead a team of Product Reliability Engineers.

  • Drive end-to-end reliability strategy throughout the product lifecycle (concept → qualification → production → field).

  • Coordinate the creation and implementation of the reliability test plan.

  • Establish reliability test plan references, test methodologies, and qualification processes.

  • Drive failure analysis and root cause investigations, ensuring timely resolution and risk mitigation.

  • Partner cross-functionally with engineering, validation, manufacturing, operations, and field teams to resolve issues and improve product robustness.

  • Build positive relationships with ODM partners and third-party labs to scale testing capabilities.

  • Provide reliability predictions.

  • Use data-driven approaches to assess risk, make informed decisions, and communicate reliability status to collaborators and leadership.

What we need to see:

  • Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).

  • 10+ overall years of experience in reliability, qualification, or hardware engineering positions within datacenter or computer sectors.

  • 5+ years of experience in managing personnel.

  • Strong foundation in reliability engineering principles, including accelerated testing, failure analysis, and statistical modeling.

  • Experience with system-level hardware: servers, racks, or complex electronic systems.

  • Proven ability to drive cross-functional alignment and execution in a global environment.

  • Excellent written and verbal communication skills, with the ability to present complex technical concepts to diverse audiences.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 256,000 USD - 385,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

  • Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience)
  • 10+ years experience in reliability, qualification, or hardware engineering within datacenter or computer sectors
  • 5+ years of experience managing personnel
  • Strong foundation in reliability engineering principles including accelerated testing, failure analysis, and statistical modeling
  • Experience with system-level hardware such as servers, racks, or complex electronic systems
  • Proven ability to drive cross-functional alignment and execution in a global environment
  • Excellent written and verbal communication skills, able to present complex technical concepts to diverse audiences

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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