Senior Storage Production Engineer - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud Computing, AI/ML, High-Performance ComputingIndustries

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

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 optimize 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 go live through activities such as system design consulting, developing automation frameworks, capacity management, and launch reviews
Maintain production storage infrastructure by monitoring 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

Skills

Key technologies and capabilities for this role

KubernetesContainersVirtualizationDistributed StorageStorage ArchitectureNetworkingDatabase ManagementCapacity PlanningContinuous DeliveryContinuous DeploymentPerformance TuningAutomationMonitoringHPCAI/ML

Questions & Answers

Common questions about this position

What are the main responsibilities of the Senior Storage Production Engineer?

The role involves designing, implementing, and supporting large-scale storage clusters for scalability and high availability, developing monitoring systems, optimizing storage for AI/ML workloads, improving storage service lifecycles, and maintaining production infrastructure with predictive analytics.

What skills and expertise are required for this position?

Expertise in storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, capacity planning, continuous delivery, Kubernetes, containers, virtualization, automation, performance tuning, monitoring, and AI/ML workloads is required.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Senior Storage Production Engineer role?

A strong candidate has a mindset focused on automating storage operations, improving data access efficiency, optimizing performance, and handling the big picture of system interfaces, with experience in proactive monitoring, fault detection, data replication, and intelligent caching.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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