Nvidia
Nvidia

60 Nvidia Site Reliability Engineer Jobs Hiring Near You

OR · On-site

$55.75 - $74.50/hr

NVIDIA is hiring experienced Senior Production Engineers to help scale up its AI Infrastructure. We expect you to have significant experience with site reliability principles and techniques including ...

Senior ML Platform Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Apply SRE principles to diagnose, troubleshoot, and resolve complex system issues across the entire ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

OR · On-site

Demonstrated experience implementing SRE practices, specifically defining and tracking SLIs, SLOs ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ... Build and maintain SRE-style validation infrastructure, including provisioning, monitoring, and ...

OR · On-site

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ... Build and maintain SRE-style validation infrastructure, including provisioning, monitoring, and ...

Join NVIDIA, an innovator in computer graphics, PC gaming, and accelerated computing, as we step into the next era shaped by AI. As a Senior Reliability Engineer, you'll work within a focused team ...

Senior Product Manager, AI Factory Infra

Seattle, WA · Hybrid

$144K - $190K/yr

Collaborate with NCP operators, SRE teams, and hardware vendor partners to integrate RMA processes ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Senior Product Manager, AI Factory Infra

New York, NY · Hybrid

$138K - $182K/yr

Collaborate with NCP operators, SRE teams, and hardware vendor partners to integrate RMA processes ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Showing results 41-60

Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
Infographic showing various Site Reliability Engineer job openings at Nvidia in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 14% Hybrid, and 2% Remote job distribution.
Senior Production Engineer - DGX Cloud

Senior Production Engineer - DGX Cloud

Nvidia

OR • On-site

$55.75 - $74.50/hr

Full-time

Posted 26 days ago


Job description

NVIDIA is hiring experienced Senior Production Engineers to help scale up its AI Infrastructure. We expect you to have significant experience with site reliability principles and techniques including reliability assessments, incident management processes, production system observability, monitoring and alerting, automated deployments and toil elimination. We view Production Engineering as a software engineering discipline and expect significant contributions to our codebase. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about Production Engineering, and love having fun, please apply today!

For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.

What you will be doing:

  • You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to GPU asset provisioning, configuration, and lifecycle management across cloud providers.

  • Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.

  • Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.

What we need to see:

  • Direct experience in a Production Engineering/DevOps/SRE role within a highly technical organization with demonstrable impact from your work.

  • Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.

  • 8+ years in similar role and experience on large-scale production systems. Experience with the aforementioned Production Engineering/DevOps/SRE principles, tools and techniques.

  • You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.

  • Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.


Ways to stand out from the crowd:

  • Technical competency in managing and automating large-scale distributed systems independent of cloud providers.

  • Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager)

  • Proven operational excellence in maintaining reliable and performant AI infrastructure.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 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.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993