Logo for NVIDIA

Service Reliability Engineer

Role overview

Qualifications

  • Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management
  • Experience with Cloud platforms (AWS, Azure, GCP, OCI) is a plus; strong preference for on-prem expertise
  • 8+ years of experience coordinating large-scale production systems and more than 3 years of experience working in high-availability Internet, Cloud, or Data Center settings
  • BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience

Responsibilities

  • Operate within a 24/7 follow-the-sun support model across multiple continents
  • Monitor and manage extensive production GPU and Kubernetes environments
  • Develop and complete predictive automated support routines to prevent potential issues from impacting production
  • Foster strong interpersonal and communication skills for effective coordination across teams during incident resolution

About the company

NVIDIA logo

NVIDIA

Semiconductors

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Company details

Company typeXLarge
IndustrySemiconductors
Company size10001

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

At NVIDIA, our Compute Infrastructure Support (CIS) team looks for a driven Site Reliability Engineer passionate about innovation and excellence. As an SRE, you will be vital in delivering world-class support for our on-prem and cloud products and services. Your work will help maintain near 100% availability. This role offers a chance to work with powerful technology and join a diverse expert team. Together, you will build reliable systems that advance our innovative progress in AI and accelerated computing.

What you'll be doing:

  • Operate within a 24/7 follow-the-sun support model across multiple continents, working closely with a U.S.-based manager. Manage a 4-day, 10-hour schedule, including either Saturday or Sunday, with flexible early or late shifts to maintain global coverage.

  • Monitor and manage extensive production GPU and Kubernetes environments to ensure high availability and performance. Apply advanced tools to detect, prevent, and respond to incidents proactively.

  • Apply in-depth systems knowledge to analyze logs, metrics, and system behavior, diagnosing issues and implementing effective resolutions.

  • Develop and complete predictive automated support routines to prevent potential issues from impacting production.

  • Improve automation by integrating incident analysis insights into auto-healing and automated break-fix solutions.

  • Perform comprehensive systems administration, network administration, and security monitoring tasks.

  • Coordinate with domain experts and service owners to resolve complex issues efficiently.

  • Continuously improve service quality and operational processes based on incident feedback.

  • Foster strong interpersonal and communication skills to ensure effective coordination across teams during incident resolution.

  • Deliver outstanding customer focus, ensuring clients feel supported and valued throughout all interactions.

What we need to see:

  • Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management.

  • Familiarity with GPU hardware and high-performance computing environments.

  • Proficiency with observability and incident management tools (Grafana, OpenTelemetry, PagerDuty, JIRA).

  • Experience with Cloud platforms (AWS, Azure, GCP, OCI) is a plus; strong preference for on-prem expertise.

  • Highly motivated with strong communication skills, demonstrating the ability to work effectively with multi-functional teams.

  • 8+ years of experience coordinating large-scale production systems and more than 3 years of experience working in high-availability Internet, Cloud, or Data Center settings.

  • BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience.

  • Expert-level Linux system administration, automation using Ansible and/or Python and strong expertise in shell scripting, DNS, DHCP, storage systems, and core networking.

  • Proven experience in problem-solving and maintaining large-scale bare-metal infrastructure.

  • Excellent partnership, documentation, and mentoring skills.

Ways to stand out from the crowd:

  • Experience with scripting languages, particularly Python.

  • Prior experience running virtual machines under community-supported or commercial hypervisors.

  • Knowledge of application containers and container orchestration systems.

  • Basic understanding of Git.

  • Demonstrate ability to master and maintain complicated environments.

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 August 14, 2026.

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.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Site Reliability Engineer (SRE) Related jobs

Other jobs at NVIDIA

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.