Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of experience in SRE, DevOps, or Production Engineering.
- Education
- Degree in Computer Science or a related technical field involving coding, or equivalent experience.
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Role Summary
This Site Reliability Engineering role at NVIDIA focuses on defining, developing, and supporting large-scale production systems with high efficiency, availability, reliability, and uptime. The role partners with development teams to improve service operation, incident response, monitoring, automation, and sustainable on-call practices.
What You'll Do
- 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...
- 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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; experience with fault-tolerant, performant, and supportable systems, infrastructure automation, critical production services, Python, Go, Perl, or Ruby; observability platform experience; strong communication skills; flexibility and adaptability.
Required
- 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)
Preferred
- 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...
- Hands-on expertise operating and scaling distributed systems with tight SLAs, ensuring high availability and performance
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 an inclusive 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.