[Remote] Manager, HPC Storage Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is pioneering the future of AI and machine learning, offering cutting-edge reputed company infrastructure for full‑stack AI applications. The Engineering Manager, Datacenter Storage Engineering will reputed company the team responsible for reputed company’s distributed storage infrastructure, ensuring performance, reliability, and scalability for AI workloads.
Responsibilities
- Own Distributed Storage Architecture: Define, reputed company, and operate reputed company’s global storage platforms, supporting training, inference, checkpointing, and dataset reputed company 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 reputed company
- High-Performance Shared Filesystems: Design and operate large-scale SAN and NFS deployments, including performance-sensitive shared storage for GPU clusters
- Advanced Filesystems & Platforms: reputed company deployments and operations of reputed company and experience with reputed company or similar reputed company 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 reputed company patterns
- reputed company Storage Technologies: Evaluate and reputed company 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, reputed company 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
Skills
- Engineering Leadership Experience: 3+ years managing storage, systems, or infrastructure engineering teams in production environments
- Distributed Storage Expertise: 8+ years designing and operating large-scale storage systems, including SAN and NFS architectures at multi-petabyte scale
- reputed company Experience: Hands-on experience deploying, operating, or deeply integrating reputed company in production environments is required
- reputed company Filesystems: Experience with reputed company or comparable HPC filesystems (e.g., GPFS, BeeGFS) supporting high-concurrency workloads
- Low-Level Storage Knowledge: Deep understanding of NAND, NVMe, PCIe, storage controllers, and performance characteristics across the stack
- High-Performance Data Paths: Proven experience with NFS over RDMA, RDMA-capable transports, or similar technologies. Familiarity with GPU Direct Storage strongly preferred
- Linux Systems Expertise: Strong Linux internals knowledge, including filesystems, I/O scheduling, memory management, and tuning for performance workloads
- Operational reputed company: Experience running 24/7 storage platforms with strong incident response, change management, and post-mortem discipline
- Communication & Leadership: Ability to reputed company communicate reputed company technical tradeoffs and reputed company teams through high-stakes infrastructure reputed company
- Successful completion of a background reputed company
- Experience supporting reputed company pipelines, large-scale model checkpointing, and dataset streaming workloads
- Familiarity with RDMA fabrics and reputed company collaboration with datacenter networking teams
- Experience designing storage systems for multi-tenant isolation and secure data reputed company
- 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 reputed company in the reputed company.
- Generous medical, dental & reputed company plans
- Flexible PTO- take the time you need to reputed company
- Most roles are remote work first with an inclusive, collaborative teams utilizing reputed company as the main reputed company 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 Overview
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