RunPod

5 months ago

Manager, HPC Storage Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Lead the team responsible for distributed, GPU-centric storage infrastructure across all regions. Own the end-to-end storage stack—from NAND/NVMe media and controllers through SAN/NFS architectures, Lustre-style parallel filesystems, and cluster deployments—driving performance, reliability, and scalability for AI training, inference, checkpointing, and dataset access. Manage engineers, build observability and automation, and partner with networking, SRE, and product to deliver next-generation capabilities like NFS over RDMA and GPU Direct Storage.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•Own distributed storage architecture: define, evolve, and operate global storage platforms for training, inference, checkpointing, and dataset access.
•Build and manage the storage engineering team across regions, setting technical direction and operational standards.
•Design and operate large-scale SAN and NFS deployments for high-performance shared filesystems for GPU clusters.
•Lead deployments and operations of VAST Data and parallel filesystems (e.g., Lustre-style) in HPC/AI environments.
•Drive reliability, scale, performance optimization, and automation/observability across provisioning, upgrades, monitoring, and failure recovery.

Pay and Benefits

Salary: USD 150,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid LeaveRemote WorkEquity

Key Requirements

•3+ years managing storage, systems, or infrastructure engineering teams in production environments.
•8+ years designing and operating large-scale storage systems, including SAN and NFS architectures at multi-petabyte scale.
•Hands-on experience deploying, operating, or deeply integrating VAST Data in production environments.
•Experience with Lustre or comparable HPC parallel filesystems (e.g., GPFS, BeeGFS) supporting high-concurrency workloads.
•Deep understanding of NAND, NVMe, PCIe, storage controllers, and performance characteristics across the storage stack.

Experience:3+ yearsHPCAI infrastructureDistributed systems

Skills:People managementOperational disciplineTechnical leadershipCommunicationIncident response

Tech Stack:NANDNVMePCIeSANNFSVAST DataLustreGPFSBeeGFSRDMANFS over RDMAGPU Direct StorageGDSLinuxI/O schedulingMemory managementStorage controllersControllers

Company Brief

RunPod

Provides on-demand GPU cloud and marketplace services for machine learning workloads, offering rentable GPU instances, scalable compute for training and inference, and tools to run ML jobs cost-effectively without long-term commitments.

Industry: Cloud Computing

Website

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RunPod

5 months ago

Manager, HPC Storage Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•Own distributed storage architecture: define, evolve, and operate global storage platforms for training, inference, checkpointing, and dataset access.
•Build and manage the storage engineering team across regions, setting technical direction and operational standards.
•Design and operate large-scale SAN and NFS deployments for high-performance shared filesystems for GPU clusters.
•Lead deployments and operations of VAST Data and parallel filesystems (e.g., Lustre-style) in HPC/AI environments.
•Drive reliability, scale, performance optimization, and automation/observability across provisioning, upgrades, monitoring, and failure recovery.

Pay and Benefits

Salary: USD 150,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid LeaveRemote WorkEquity

Key Requirements

•3+ years managing storage, systems, or infrastructure engineering teams in production environments.
•8+ years designing and operating large-scale storage systems, including SAN and NFS architectures at multi-petabyte scale.
•Hands-on experience deploying, operating, or deeply integrating VAST Data in production environments.
•Experience with Lustre or comparable HPC parallel filesystems (e.g., GPFS, BeeGFS) supporting high-concurrency workloads.
•Deep understanding of NAND, NVMe, PCIe, storage controllers, and performance characteristics across the storage stack.

Experience:3+ yearsHPCAI infrastructureDistributed systems

Skills:People managementOperational disciplineTechnical leadershipCommunicationIncident response

Tech Stack:NANDNVMePCIeSANNFSVAST DataLustreGPFSBeeGFSRDMANFS over RDMAGPU Direct StorageGDSLinuxI/O schedulingMemory managementStorage controllersControllers

Company Brief

RunPod

Industry: Cloud Computing

Website