Senior Reliability Engineer, DGX Cloud

Company: Nvidia

Location: US, CA, Santa Clara (Remote)

Salary: $168k - $270.2k per year

Type: Full-time

Remote: Yes

Posted: 2026-06-22

About this role

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you passionate about building world-class reliability systems? Join NVIDIA as a Sr. Reliability Engineer, DGX Cloud, and be a pivotal part of a team that redefines operational excellence. Our team is at the forefront of redefining how DGX Cloud approaches reliability, making it an outstanding opportunity to develop strategies and drive innovation. We're looking for a seasoned engineer with experience in running large-scale systems and a deep understanding of operational practices.

What you'll be doing:

  • Build org-wide reliability strategy, guiding how NVIDIA matures its operational practices in a 24/7 environment.
  • Stand up a rigorous SLO program, defining and maintaining high standards across teams.
  • Lead incident response for high severity incidents, ensuring low drama and high signal resolution.
  • Build and improve production code daily, enhancing our data platform and related tooling.
  • Implement chaos engineering, failure injection, and resilience testing to elevate our team's standard practices.
  • Improve standards by setting an example with your hands-on experience and leadership.

What we need to see:

  • Deep, hands-on experience running large-scale production systems with a proven track record.
  • A detailed understanding of failure modes in large systems, i...

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