Senior SRE: Global HPC & Cloud Reliability

NVIDIA AI; Durham (NC); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA is seeking a Senior SRE to join the Compute Farm team to help build the next generation of our global services platform. You will own SRE solutions end‑to‑end, from design and implementation to operation and continuous improvement, ensuring integration with HPC schedulers, storage, and network fabrics.

You’ll deliver in a globally distributed, multi‑cloud hybrid environment—On‑prem, AWS, GCP, and OCI— while designing for failure, redundancy, and strong QoS across internal customers.

Qualifications

• BS in Computer Science or related technical field or equivalent experience.
• 5+ years of professional experience building and supporting critical services.
• Experience with large-scale HPC clusters and schedulers (Slurm/LSF/Kubernetes).
• Strong CI/CD and Infrastructure as Code practices.
• Proven ability to design scalable, observable platforms and auto-healing.

Responsibilities

• Own SRE solutions end-to-end from design to operation and improvement.
• Automate provisioning across on‑prem and multi‑cloud environments.
• Deliver reliable services with high uptime and QoS for internal customers.
• Lead on-call and incident reviews; produce high‑quality RCA reports.
• Mentor engineers and influence architectural decisions.

Skills

SRE

HPC

Kubernetes

Python

Go

IaC

CI/CD

Observability

Incident response

Mentoring

Education

BS in Computer Science or related field

Tools

Slurm

LSF

Kubernetes

Job description

NVIDIA is seeking a Senior SRE to join the Compute Farm team to help build the next generation of our global services platform. You will own SRE solutions end‑to‑end, from design and implementation to operation and continuous improvement, ensuring integration with HPC schedulers, storage, and network fabrics.

You’ll deliver in a globally distributed, multi‑cloud hybrid environment—On‑prem, AWS, GCP, and OCI— while designing for failure, redundancy, and strong QoS across internal customers.