Storage Production Engineering Lead - Remote

NVIDIA Corporation; New York (NY); Remote; USD 272,000 - 431,000; Full time

Job summary

NVIDIA is seeking a Storage Production Engineering lead to shape and scale our storage platforms for AI and HPC workloads. You will guide a team of engineers across on-prem and cloud storage, driving reliability, performance, and cost efficiency in a fast-paced environment.

You will collaborate with engineering, DevOps, and AI/ML teams to optimize data pipelines, design for high availability, and implement modern storage technologies.

Qualifications

• BS or MS in Computer Science, Storage Systems, or a related technical field, or equivalent experience.
• 12+ total 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 production infrastructure operations, including on-call rotations, incident response, maintenance, troubleshooting, and optimization of production systems, with SLOs and KPIs.
• Hands-on experience with parallel file systems (Lustre/GPFS), distributed storage (Ceph/MinIO), and enterprise object/NAS platforms (S3-compatible, NetApp, Pure Storage).
• Strong knowledge of block, file, and object storage, performance tuning, data protection, and HA design.
• Experience with storage networking and protocols (NFS, SMB, iSCSI, Fibre Channel, RDMA, NVMe-oF).
• Automation and infrastructure-as-code with Terraform, Ansible, or Puppet.
• Strong monitoring/observability knowledge (Prometheus, InfluxDB, Elastic Stack).

Responsibilities

• Leading and coaching a team of Storage Production Engineers in a collaborative, inclusive, and learning-focused environment.
• Designing, deploying, and improving large-scale storage systems, including distributed storage, parallel file systems, and object storage.
• Using automation, monitoring, and analytics to improve reliability, efficiency, and operability of storage services.
• Owning capacity planning, data lifecycle management, cost awareness, and high availability and disaster recovery plans for storage.
• Evaluating and adopting modern storage approaches such as NVMe over Fabrics, RDMA, high-speed interconnects, and cloud-based storage.
• Guiding incident response and root cause analysis for storage issues and implementing changes to prevent recurrence.
• Partnering with engineering, DevOps, and AI/ML teams to improve data pipelines, access patterns, and workflow performance.

Skills

People management

Storage architecture

Automation tooling

Monitoring/observability

Networking knowledge

Education

BS/MS in Computer Science or Storage

Tools

Terraform

Ansible

Puppet

Prometheus

InfluxDB

Elastic Stack

Lustre/GFPS

Ceph/MinIO

Job description

NVIDIA is seeking a Storage Production Engineering lead to shape and scale our storage platforms for AI and HPC workloads. You will guide a team of engineers across on-prem and cloud storage, driving reliability, performance, and cost efficiency in a fast-paced environment.

You will collaborate with engineering, DevOps, and AI/ML teams to optimize data pipelines, design for high availability, and implement modern storage technologies.