Storage Production Engineering Lead - Scale & Reliability

NVIDIA; California (MO); Sur place; USD 272 000 - 431 250; Plein temps

Avantages offerts par ce poste

Equity

Comprehensive benefits

Paid time off

Résumé du poste

NVIDIA is seeking a seasoned Storage Production Engineering leader to drive design, deployment, and reliability of large-scale storage systems. You will work with engineering, DevOps, and AI teams to optimize data pipelines, storage performance, and scalability.

The role requires extensive storage architecture experience, people leadership, and hands-on expertise with modern storage technologies and IaC tooling. Equity and comprehensive benefits are part of the package.

Qualifications

• BS or MS in Computer Science, Storage Systems, or a related technical field, or equivalent experience.
• 12+ years of experience in large scale storage architecture, operations, production engineering, or infrastructure.
• 6+ years of people management or technical leadership experience with storage, infrastructure, or site reliability teams.
• Hands-on experience with parallel file systems (Lustre/GPFS), distributed storage (Ceph/MinIO), and S3-compatible/object/NAS platforms (NetApp/Pure Storage).

Responsabilités

• Lead and coach a team of Storage Production Engineers in a collaborative, learning-focused environment.
• Design, deploy, and improve large-scale storage systems and architectures.
• Use automation, monitoring, and analytics to improve reliability and efficiency of storage services.

Connaissances

Storage systems

Leadership

Automation

Monitoring/Observability

Networking protocols

Incidence response

IaC (Terraform/Ansible/Puppet)

SRE/Production Engineering

Formation

BS/MS in Computer Science or Storage Systems

Outils

Terraform

Ansible

Puppet

Prometheus/InfluxDB/Elastic Stack

Description du poste

NVIDIA is seeking a seasoned Storage Production Engineering leader to drive design, deployment, and reliability of large-scale storage systems. You will work with engineering, DevOps, and AI teams to optimize data pipelines, storage performance, and scalability.

The role requires extensive storage architecture experience, people leadership, and hands-on expertise with modern storage technologies and IaC tooling. Equity and comprehensive benefits are part of the package.