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.

Requirements

Must-haves

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.
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).
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.
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesjiraawsazuregcppython

Platform: eightfold
Effort: medium