Senior AI Cloud Storage Systems Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 176,000 - 334,000; Full time

Job summary

NVIDIA Corporation seeks a Production Storage Engineer to design, deploy, and optimize large-scale storage clusters for GPU-accelerated AI/ML workloads in Santa Clara, CA. You will build and maintain monitoring, logging, and alerting, ensuring data integrity, low latency, and high availability across distributed storage systems.

You will work with cutting-edge storage technologies, implement automation frameworks, and collaborate with software, systems, and hardware teams to enhance storage

Qualifications

• BS degree in Computer Science, Storage Systems, or a related field with 8+ years of practical experience.
• Experience with distributed and high-performance storage solutions, including clustered and parallel file systems, distributed object storage, and enterprise-grade storage systems.
• Solid understanding of block, file, and object storage technologies and their scalability, reliability, and performance characteristics.
• Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.
• Expertise in algorithms, data structures, software design, and automating maintenance of large-scale Linux-based storage systems.
• Experience in one or more of the following: C/C++, Java, Python, Go, NodeJS, and Bash for storage automation, monitoring, and performance tuning.
• Hands-on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform for automating storage deployments.
• Experience with observability and tracing tools like InfluxDB, Prometheus, Grafana, and the Elastic stack for monitoring storage system health.
• Excellent written and oral communication, teamwork, and commitment to quality.

Responsibilities

• Design, implement, and support large-scale storage clusters with high availability and data integrity.
• Develop and maintain storage monitoring, logging, and alerting systems for proactive issue resolution.
• Work with AI/ML workloads to improve storage architectures for low-latency access and high throughput.
• Improve the lifecycle of storage services from design to deployment and optimization.
• Support storage services with system build consulting, automation frameworks, capacity management, and launch reviews.
• Maintain production storage infrastructure by monitoring availability, latency, and health with predictive analytics and AI-driven automation.
• Optimize storage efficiency through compression, deduplication, tiering, and intelligent workload placement.
• Scale storage systems using AI/ML-driven automation and dynamic data migration techniques.
• Ensure data security with encryption, access controls, and auditing for storage systems.
• Participate in on-call rotations for storage and production systems.

Skills

Distributed storage

C/C++

Python

Go

Bash

Linux

CI/CD

Terraform

Ansible

Kubernetes

Education

BS in CS or related

Tools

OpenStack

Kubernetes

Terraform

Ansible

Prometheus

Grafana

InfluxDB

ELK

Job description

NVIDIA Corporation seeks a Production Storage Engineer to design, deploy, and optimize large-scale storage clusters for GPU-accelerated AI/ML workloads in Santa Clara, CA. You will build and maintain monitoring, logging, and alerting, ensuring data integrity, low latency, and high availability across distributed storage systems.

You will work with cutting-edge storage technologies, implement automation frameworks, and collaborate with software, systems, and hardware teams to enhance storage