Senior Storage Platform Engineer (AI/ML, Equity)

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Storage Production Engineer role focusing on large-scale storage clusters, low-latency data access, and high-throughput performance for AI/ML workloads. You will automate storage operations, monitor systems, and implement advanced data management techniques to maintain reliability and efficiency.

The role requires 8+ years in storage systems, strong programming skills, and experience with Linux-based storage deployments. Equity and benefits are included with a competitive base salary.

Qualifications

• BS degree or equivalent in Computer Science, Storage Systems, or a related technical 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, including their scalability, reliability, and performance characteristics and standard processes.
• Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.
• Expertise in algorithms, data structures, complexity analysis, 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.
• You should possess excellent written and oral communication skills, excellent work ethics, a deep sense of teamwork, love to produce quality work and commitment to finishing your tasks every single day.

Responsibilities

• Design, implement, and support large-scale storage clusters, ensuring scalability, high availability, and data integrity.
• Develop and maintain storage monitoring, logging, and alerting systems to ensure proactive detection and resolution of performance issues.
• Work with AI/ML workloads to improve storage architectures for low-latency access, efficient caching, and high-throughput performance.
• Improve the lifecycle of storage services – from inception and design to deployment, operation, and continuous optimization. Support storage services before they become available through activities such as system build consulting, developing automation frameworks, capacity management, and launch reviews.
• Maintain production storage infrastructure by supervising availability, latency, and system health, leveraging predictive analytics and AI-driven automation.
• Optimize storage efficiency through compression, deduplication, tiering strategies, and intelligent workload placement.
• Scale storage systems sustainably using AI/ML-driven automation, policy-based tiering, and dynamic data migration techniques. Ensure data security and compliance by implementing encryption, access controls, and auditing mechanisms for storage systems.
• Practice sustainable incident response and blameless root cause analysis. Be part of an on-call rotation to support storage and production systems.

Skills

Distributed storage

High-performance storage

Storage networking

C/C++ development

Python

Go

NodeJS

Bash

CI/CD pipelines

Git & code review

Education

BS degree or equivalent in Computer Science or Storage Systems

Tools

Ansible

Chef

Puppet

Terraform

InfluxDB

Prometheus

Grafana

Elastic Stack

OpenStack

Kubernetes

Job description

NVIDIA Storage Production Engineer role focusing on large-scale storage clusters, low-latency data access, and high-throughput performance for AI/ML workloads. You will automate storage operations, monitor systems, and implement advanced data management techniques to maintain reliability and efficiency.

The role requires 8+ years in storage systems, strong programming skills, and experience with Linux-based storage deployments. Equity and benefits are included with a competitive base salary.