# Senior Storage Production Engineer - DGX Cloud

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Storage-Production-Engineer---DGX-Cloud_JR2021335?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c9b685cd-6dd

## Description

Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability.

As a Senior Storage Production Engineer at NVIDIA, you will play a critical role in ensuring that our internal and external-facing GPU cloud services meet reliability and uptime goals.

**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.

- 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.

- Practice sustainable incident response and blameless root cause analysis.

**Requirements:**

- BS degree or equivalent experience 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.

**Benefits:**

- Equity

- Benefits package

## Skills

### Required
- distributed storage systems
- high-performance storage solutions
- storage networking protocols
- algorithms
- data structures
- software design
- Linux-based storage systems
- C/C++
- Java
- Python
- Go
- NodeJS
- Bash
- Ansible
- Chef
- Puppet
- Terraform

### Nice to have
- extensive distributed storage systems
- replication strategies
- erasure coding techniques
- capacity planning
- performance tuning
- troubleshooting high-throughput storage systems
- Git
- code review
- pipelines
- CI/CD
- analyzing and improving distributed storage system performance
- strong debugging skills
- systematic problem-solving approach
- network protocols
- architectures
- troubleshooting techniques

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Storage-Production-Engineer---DGX-Cloud_JR2021335?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)