NVIDIA

1 month ago

Senior Storage Production Engineer - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design, build, and optimize large-scale NVIDIA DGX Cloud storage for AI/ML workloads. Ensure reliability, high availability, and data integrity; develop monitoring, logging, and automation; optimize data placement, latency, and throughput; collaborate with storage, systems, and software teams; drive lifecycle improvements from design through deployment and operation.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Key Responsibilities

•Design, implement, and support large-scale storage clusters with emphasis on scalability, high availability, and data integrity.
•Develop and maintain storage monitoring, logging, and alerting to proactively detect and resolve performance issues.
•Work with AI/ML workloads to improve storage architectures for low-latency access and high-throughput performance.
•Improve the lifecycle of storage services from design to deployment and optimization, including automation frameworks and capacity management.
•Maintain production storage infrastructure, monitoring availability, latency, and system health, using predictive analytics and automation.

Pay and Benefits

Salary: USD 176,000 - 333,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•8+ years of practical experience in Computer Science, Storage Systems, or related field
•Experience with distributed and high-performance storage solutions, including clustered/parallel file systems and object storage
•Solid understanding of block, file, and object storage technologies and their performance characteristics
•Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics
•Programming experience in C/C++, Java, Python, Go, NodeJS, or Bash for storage automation and performance tuning

Experience:8+ yearsStorageDistributed storageHPCAI/MLKubernetes

Education:Bachelor's

Skills:CC++JavaPythonGoNodeJSBashAnsibleChefPuppetTerraformPrometheusGrafanaInfluxDBElasticKubernetesOpenStack

Languages:English

Tech Stack:CC++JavaPythonGoNodeJSBashAnsibleChefPuppetTerraformInfluxDBPrometheusGrafanaElasticKubernetesOpenStack

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Storage Production Engineer - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Key Responsibilities

•Design, implement, and support large-scale storage clusters with emphasis on scalability, high availability, and data integrity.
•Develop and maintain storage monitoring, logging, and alerting to proactively detect and resolve performance issues.
•Work with AI/ML workloads to improve storage architectures for low-latency access and high-throughput performance.
•Improve the lifecycle of storage services from design to deployment and optimization, including automation frameworks and capacity management.
•Maintain production storage infrastructure, monitoring availability, latency, and system health, using predictive analytics and automation.

Pay and Benefits

Salary: USD 176,000 - 333,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•8+ years of practical experience in Computer Science, Storage Systems, or related field
•Experience with distributed and high-performance storage solutions, including clustered/parallel file systems and object storage
•Solid understanding of block, file, and object storage technologies and their performance characteristics
•Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics
•Programming experience in C/C++, Java, Python, Go, NodeJS, or Bash for storage automation and performance tuning

Experience:8+ yearsStorageDistributed storageHPCAI/MLKubernetes

Education:Bachelor's

Skills:CC++JavaPythonGoNodeJSBashAnsibleChefPuppetTerraformPrometheusGrafanaInfluxDBElasticKubernetesOpenStack

Languages:English

Tech Stack:CC++JavaPythonGoNodeJSBashAnsibleChefPuppetTerraformInfluxDBPrometheusGrafanaElasticKubernetesOpenStack

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor