NVIDIA is seeking a DevOps Engineer to join their innovative team focused on building an AI Data Center AIOps platform. The role involves ensuring platform uptime, performance, data integrity, and safe change management. The engineer will collaborate with software and systems engineering teams to translate platform signals into actionable alerts and automation. This position offers the opportunity to work in a diverse and supportive environment while making a significant impact on the world of AI and computing.

• BS/MS in Computer Science or Computer Engineering or equivalent experience.
• 5+ years of experience operating production distributed systems as SRE, DevOps, or Platform Ops.
• Proven ownership of reliability for an observability or AIOps platform.
• Deep experience with Kubernetes and containers for telemetry-heavy microservices.
• Strong scripting skills in Python or Bash, and experience with CI/CD and infrastructure-as-code.

• Continuously monitor platform health via dashboards, logs, and metrics.
• Own Kubernetes deployments end-to-end, including runbooks and post-deploy validation.
• Lead first-level incident triage by collecting diagnostics and identifying root causes.
• Build and maintain runbooks, SOPs, and checklists to push continuous improvement.
• Manage deployment infrastructure and packaging to ensure environments are scalable and consistent.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.