At NVIDIA, Site Reliability Engineering provides a rare chance to define, develop, and support large-scale production systems with high efficiency and availability. This demanding position merges software and systems engineering efforts to guarantee flawless service operation with consistent reliability and uptime. As an SRE here, you will be part of a welcoming team that values collaboration and creativity, empowering developers to make significant updates while sustaining efficient system function.
What you'll be doing:
Develop and support guidelines for incident management, planned maintenance, and blameless postmortems.
Assist teams in responding to high severity incidents, driving root cause analysis, crafting high-quality postmortems, and developing post-incident corrective actions.
Define reliability and supportability metrics, Service Level Objectives, and error budgets.
Develop and drive the adoption of actionable, customer-centric monitoring and alerting.
Apply automation and Generative AI/Agentic solutions to minimize manual and tedious activities and boost customer support.
Guide teams on establishing sustainable on-call and operational standards.
What we need to see:
Degree in Computer Science or a related technical field involving coding, or equivalent experience.
8+ years of experience in SRE, DevOps, or Production Engineering.
Strong understanding of SRE principles, including incident management, error budgets, SLOs, and SLAs.
Experience crafting and deploying systems that are fault-tolerant, performant, and supportable.
Background with infrastructure automation.
Experience running critical services in production.
Experience in one or more of the following: Python, Go, Perl, or Ruby.
Hands-on experience with observability platforms (e.g., Prometheus, Grafana).
Strong communication skills with the ability to convey technical concepts effectively to diverse audiences.
Flexibility and adaptability working in a fast-paced environment with evolving requirements.
Ways to stand out from the crowd:
Expertise in establishing incident management and postmortem processes.
Experience driving adoption of common tools and processes across diverse groups.
Experience working with LLM/Generative AI/Agentic solutions to shorten mitigation time, lessen toil, and ensure Service Level Objectives are met.
Hands-on expertise operating and scaling distributed systems with tight SLAs, ensuring high availability and performance.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.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.”
