Join our team in Santa Clara, CA, USA as a Senior Site Reliability Engineer. At NVIDIA, you'll be part of the team shaping the future of computing and guaranteeing the smooth operation of our brand-new technologies. Our mission is to leverage AI's power to build outstanding and pioneering solutions that have a significant impact on the world.
What you'll be doing:
Own the solutions you build, collaborating with cross-functional teams to successfully implement them.
Collaborate with various teams in a fast-paced environment to ensure seamless project completion.
Continuously improve solution provisioning and management through automation.
Identify areas to improve service resiliency using industry-standard practices.
Detect performance issues and recommend solutions to maintain world-class service quality.
Conduct capacity management and planning to meet ongoing operational needs.
Participate in incident reviews, assist in root cause identification, and write RCA reports.
Deliver SRE solutions in a globally distributed, multi-cloud hybrid environment - AWS, GCP, and On-prem.
Ensure the highest level of uptime and Quality of Service (QoS) for internal customers through operational excellence.
Participate in the team's on-call rotation.
What we need to see:
B.S. degree in Computer Science or related technical field (or equivalent experience) with 5+ years in building and supporting critical services.
Proficiency in Kubernetes administration, modern CI/CD techniques and Infrastructure as Code (IaC).
Deep understanding of Linux operating systems and TCP/IP fundamentals.
Expertise with at least one major cloud service provider - AWS, GCP, Azure.
Demonstrated proficiency with end-to-end SRE capabilities and observability.
Proficient in monitoring, metrics gathering, APM, container management, and log collection tools.
5+ years of coding/scripting experience in at least two high-level programming languages such as Python, Go, Ruby, or Groovy.
Creative problem solver with excellent debugging skills and great communication and documentation abilities.
Ways to stand out from the crowd:
Linux certification from a well-known vendor - RedHat, Oracle, etc.
Prior experience managing large-scale Kubernetes deployment in production.
Strong skills in modern container networking and storage architecture.
Experience designing AI chatbots and agentic automation workflows
Hands-on experience working with Slurm/LSF environments.
#LI-Hybrid
You will also be eligible for equity and benefits.
Top Skills
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.”
