Site Reliability Engineer - Hardware Infrastructure
About the role
NVIDIA Site Reliability Engineering provides a unique opportunity to define, develop, and support large-scale production systems with high efficiency and availability. This role merges software and systems engineering efforts to ensure flawless service operation with consistent reliability and uptime.
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, 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.
- 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.
Qualifications
- 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.
Skills
- 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.
Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Pay
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Schedule
Applications for this job will be accepted at least until June 19, 2026.