Senior Manager, Product Reliability

NVIDIA is hiring a Senior Manager, Product Reliability in Santa Clara, United States. It pays $256k-$385k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

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 other objective job-related factors. The expected base salary range for this position 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 November 3, 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.

How we rate this

Senior Manager, Product Reliability at NVIDIA rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.