LOG IN
SIGN UP
Tech Job Finder - Find Software, Technology Sales and Product Manager Jobs.
Sign In
OR continue with e-mail and password
E-mail address
Password
Don't have an account?
Reset password
Join Tech Job Finder
OR continue with e-mail and password
E-mail address
First name
Last name
Username
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Site Reliability Engineer - Hardware Infrastructure

at Nvidia

Back to all Python jobs
N
Industry not specified

Site Reliability Engineer - Hardware Infrastructure

at Nvidia

Tech LeadNo visa sponsorshipPython

Posted 16 hours ago

No clicks

Compensation
$168,000 – $333,500 USD

Currency: $ (USD)

City
Not specified
Country
United States

Join NVIDIA as a Site Reliability Engineer focused on Hardware Infrastructure. You will develop and support incident management guidelines, drive root-cause analysis for high-severity incidents, and craft blameless postmortems with corrective actions. Define reliability metrics, SLOs, error budgets, and champion customer-centric monitoring and alerting, while applying automation and Generative AI solutions to reduce toil. You will guide teams on sustainable on-call practices and scale distributed systems to meet stringent SLAs and high availability.

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 3, 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 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.

Site Reliability Engineer - Hardware Infrastructure

at Nvidia

Back to all Python jobs
N
Industry not specified

Site Reliability Engineer - Hardware Infrastructure

at Nvidia

Tech LeadNo visa sponsorshipPython

Posted 16 hours ago

No clicks

Compensation
$168,000 – $333,500 USD

Currency: $ (USD)

City
Not specified
Country
United States

Join NVIDIA as a Site Reliability Engineer focused on Hardware Infrastructure. You will develop and support incident management guidelines, drive root-cause analysis for high-severity incidents, and craft blameless postmortems with corrective actions. Define reliability metrics, SLOs, error budgets, and champion customer-centric monitoring and alerting, while applying automation and Generative AI solutions to reduce toil. You will guide teams on sustainable on-call practices and scale distributed systems to meet stringent SLAs and high availability.

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 3, 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 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.

SIMILAR OPPORTUNITIES

No similar jobs available at the moment.