Runpod · 5 hours ago
Manager, HPC Storage Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$150K/yr - $240K/yr
8+ years expRunpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full‑stack AI applications. The Engineering Manager, Datacenter Storage Engineering will lead the team responsible for Runpod’s distributed storage infrastructure, ensuring performance, reliability, and scalability for AI workloads.
AI InfrastructureArtificial Intelligence (AI)Cloud InfrastructureGPU
Responsibilities
Own Distributed Storage Architecture: Define, evolve, and operate Runpod’s global storage platforms, supporting training, inference, checkpointing, and dataset access at scale
Build the Storage Engineering Team: Manage and grow a team of storage and systems engineers. Set clear ownership, technical direction, and operational standards across regions
High-Performance Shared Filesystems: Design and operate large-scale SAN and NFS deployments, including performance-sensitive shared storage for GPU clusters
Advanced Filesystems & Platforms: Lead deployments and operations of VAST Data and experience with Lustre or similar parallel filesystems used in HPC and AI environments
End-to-End Performance Ownership: Drive performance optimization from NAND and NVMe media through controllers, networking, and client access patterns
Next-Generation Storage Technologies: Evaluate and deploy cutting-edge capabilities such as NFS over RDMA, GPU Direct Storage (GDS), and low-latency data paths for accelerated workloads
Reliability & Scale: Establish best practices for replication, data tiering, data protection, failure recovery, capacity planning, and lifecycle management
Automation & Observability: Build automation for provisioning, expansion, upgrades, and monitoring. Ensure deep observability into throughput, latency, and error characteristics
Cross-Functional Collaboration: Partner with Datacenter Networking, GPU Platform, SRE, and Product teams to ensure storage systems meet evolving workload and customer needs
Vendor & Partner Management: Own technical relationships with storage vendors, hardware partners, and colocation providers; drive roadmap alignment and issue resolution
Qualification
Required
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 is required
Experience with Lustre or comparable HPC filesystems (e.g., GPFS, BeeGFS) supporting high-concurrency workloads
Deep understanding of NAND, NVMe, PCIe, storage controllers, and performance characteristics across the stack
Proven experience with NFS over RDMA, RDMA-capable transports, or similar technologies. Familiarity with GPU Direct Storage strongly preferred
Strong Linux internals knowledge, including filesystems, I/O scheduling, memory management, and tuning for performance workloads
Experience running 24/7 storage platforms with strong incident response, change management, and post-mortem discipline
Ability to clearly communicate complex technical tradeoffs and lead teams through high-stakes infrastructure decisions
Successful completion of a background check
Preferred
Experience supporting AI training pipelines, large-scale model checkpointing, and dataset streaming workloads
Familiarity with RDMA fabrics and close collaboration with datacenter networking teams
Experience designing storage systems for multi-tenant isolation and secure data access
Background in hyperscale, HPC, or AI-focused infrastructure environments
Experience building internal storage platforms or abstractions consumed by product teams
Benefits
Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.
Generous medical, dental & vision plans — we cover 100% for all employees and partial for dependents.
Flexible PTO- take the time you need to recharge
Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
Company
Runpod
Runpod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.
51-200 employees
H1B Sponsorship
Runpod has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (3)
Funding
Current Stage
Growth StageTotal Funding
$22M2024-05-08Seed· $20M
2023-03-30Pre Seed· $2M
Leadership Team
Zhen Lu
Chief Executive Officer
P
Pardeep Singh
Co-Founder, CTO
Recent News
PR Newswire
2026-01-20
Crunchbase News
2025-12-26
Company data provided by crunchbase