# 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_JR2019643?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0b52049c-327

## Description

Production engineering involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. As a Senior Storage Production Engineer at NVIDIA, you will ensure that internal and external-facing GPU cloud services meet reliability and uptime goals. You will enable developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance.

**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.

- Solid understanding of block, file, and object storage technologies.

- 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.

- Excellent written and oral communication skills, excellent work ethics, a deep sense of teamwork, love to produce quality work and commitment to finishing tasks every single day.

**Benefits:**

- Equity

- Benefits

## Skills

### Required
- Distributed storage systems
- High-performance storage solutions
- Block, file, and object storage technologies
- 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
- Deep understanding of 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_JR2019643?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)