Site Reliability Engineer - Hardware Infrastructure

at Nvidia
📍 Santa Clara, United States
USD 168,000-333,500 per year
MIDDLE SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Go @ 3 Grafana @ 3 Prometheus @ 3 Ruby @ 3 DevOps @ 6 Python @ 3 Distributed Systems @ 3 Communication @ 6 Perl @ 3 SRE @ 3 Customer Support @ 3 LLM @ 3

Details

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.

Responsibilities

  • 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 (SLOs), 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.

Requirements

  • 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 and experience running critical services in production.
  • Experience in one or more of the following languages: 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

  • 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 SLOs are met.
  • Hands-on expertise operating and scaling distributed systems with tight SLAs, ensuring high availability and performance.

Compensation & Benefits

  • Base salary range (Level 4): 168,000 USD - 270,250 USD.
  • Base salary range (Level 5): 208,000 USD - 333,500 USD.
  • You will also be eligible for equity and benefits. (Link to NVIDIA benefits referenced in original posting.)

Additional information

  • Applications will be accepted at least until January 19, 2026.
  • 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 is an equal opportunity employer.