Senior Storage Production Engineer - DGX Cloud

NVIDIA is a pioneer in Artificial Intelligence, High-Performance Computing, and Visualization, with its inventions forming the visual cortex of modern computers. Our work drives innovation in fields ranging from artificial intelligence to autonomous cars. We are looking for exceptional individuals to join us in shaping the future of AI.

Introduction

NVIDIA is at the forefront of Artificial Intelligence, High-Performance Computing, and Visualization. We are seeking a Senior Storage Production Engineer to join our DGX Cloud team. In this role, you will be instrumental in crafting, building, and maintaining large-scale storage systems with high efficiency and availability for our GPU cloud services, ensuring reliability and optimal performance for AI/ML and HPC workloads.

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 for 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.
• Enhance the lifecycle of storage services from inception to deployment, operation, and continuous optimization, including system build consulting, automation framework development, 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, participating in an on-call rotation to support storage and production systems.

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, their scalability, reliability, 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.
• Excellent written and oral communication skills, strong work ethic, deep sense of teamwork, commitment to quality work, and task completion.

Nice to Have

• Deep understanding of extensive distributed storage systems, replication strategies, and erasure coding techniques.
• Experience in capacity planning, performance tuning, and troubleshooting high-throughput storage systems.
• Experience with Git, code review, pipelines, and CI/CD for handling infrastructure as code.
• Experience in analyzing and improving distributed storage system performance at scale.
• Strong debugging skills with a systematic problem-solving approach to identify sophisticated storage issues.
• Proven understanding of network protocols, architectures, and troubleshooting techniques, especially as it relates to storage performance, stability, and availability.
• Experience using or operating private and public cloud storage solutions based on Kubernetes, OpenStack, or hybrid cloud architectures.
• Ability to design and implement automated storage migration, backup, and disaster recovery strategies.
• Thrive in collaborative environments, enjoying working with various teams to optimize storage performance, and flexible in adapting to different working styles and emerging storage technologies.

Benefits

• Eligible for equity and comprehensive benefits (details at nvidia.com/en-us/benefits/).

About Company

NVIDIA is a pioneer in Artificial Intelligence, High-Performance Computing, and Visualization, with its inventions forming the visual cortex of modern computers. Our work drives innovation in fields ranging from artificial intelligence to autonomous cars. We are looking for exceptional individuals to join us in shaping the future of AI.

How to Apply

Applications for this job will be accepted at least until June 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer, valuing diversity in all employees.