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Senior Storage Production Engineer – DGX Cloud
NVIDIASenior Storage Production Engineer at NVIDIA designing and supporting large-scale storage clusters. Ensuring data integrity, high availability, and optimizing performance for AI/ML workloads.
Posted 7/17/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $176,000 - $333,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining large-scale storage systems, with a focus on scalability, high availability, and data integrity. Proficient in leveraging AI/ML for optimizing storage architectures and ensuring compliance through robust security measures.
Highest-signal resume keywords
Large-Scale Storage DesignAI/ML Workload OptimizationStorage Networking ProtocolsInfrastructure Configuration ManagementObservability and Monitoring Tools
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Distributed Storage SolutionsBlock, File, and Object Storage TechnologiesC/C++, Java, Python, Go, NodeJS, BashAlgorithms and Data StructuresAutomation of Linux-Based Storage Systems
Soft Skills
Excellent Written and Oral CommunicationStrong Work EthicsTeamwork
Tools & Technologies
AnsibleChefPuppetTerraformInfluxDBPrometheusGrafanaElastic Stack
Industry Keywords
High-Performance Storage SolutionsClustered and Parallel File SystemsData Security and CompliancePredictive AnalyticsIncident Response
Tech Stack
Tools & technologiesAnsibleChefGoGrafanaJavaLinuxNFSNode.jsPrometheusPuppetPythonTerraform
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
- 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.
- Excellent work ethics and a deep sense of teamwork.
Benefits
Comp & perks- equity
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