Senior Storage Production Engineer - DGX Cloud

About the role

Production Engineering at NVIDIA involves designing, implementing, and supporting large-scale storage clusters to ensure reliability, scalability, and data integrity. Responsibilities include optimizing data placement and access patterns for AI/ML workloads, managing storage services lifecycle, and ensuring data security and compliance.

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.
• Sustainably scale storage systems 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.

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.
• Strong understanding of block, file, and object storage technologies, including their scalability, reliability, and performance characteristics and standard processes.
• Expertise in storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.
• 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.

Qualifications

• 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.
• 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.
• Experience in designing and implementing automated storage migration, backup, and disaster recovery strategies.

Skills

• 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.

Benefits

• NVIDIA offers competitive compensation packages, including base salaries ranging from $176,000 to $276,000 for Level 4 and $208,000 to $333,500 for Level 5, based on experience and location.
• Equity and comprehensive benefits are also provided.

Pay

Base salary ranges from $176,000 to $276,000 for Level 4 and $208,000 to $333,500 for Level 5, based on experience and location.

Schedule

The schedule is flexible and may involve an on-call rotation to support storage and production systems.

Contact Information

To apply, please visit [Insert Application Link Here] before June 18, 2026. For more information about NVIDIA's commitment to diversity and inclusion, please visit [Insert Equal Opportunity Statement Link Here].