Runpod, Inc. - Manager, HPC Storage Engineer

• 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. • Distributed Storage Expertise: • SAN and NFS architectures • VAST Data Experience: Hands-on experience deploying, operating, or deeply integrating VAST Data in production environments is required. • VAST Data • Parallel Filesystems: Experience with Lustre or comparable HPC filesystems (e.g., GPFS, BeeGFS) supporting high-concurrency workloads. • Parallel Filesystems: • Lustre or comparable HPC filesystems • Low-Level Storage Knowledge: Deep understanding of NAND, NVMe, PCIe, storage controllers, and performance characteristics across the stack. • Low-Level Storage Knowledge: • NAND, NVMe, PCIe, storage controllers • High-Performance Data Paths: Proven experience with NFS over RDMA, RDMA-capable transports, or similar technologies. Familiarity with GPU Direct Storage strongly preferred. • High-Performance Data Paths: • NFS over RDMA, RDMA-capable transports • GPU Direct Storage • Linux Systems Expertise: Strong Linux internals knowledge, including filesystems, I/O scheduling, memory management, and tuning for performance workloads. • Linux Systems Expertise: • Operational Excellence: Experience running 24/7 storage platforms with strong incident response, change management, and post-mortem discipline. • Operational Excellence: • Communication & Leadership: Ability to clearly communicate complex technical tradeoffs and lead teams through high-stakes infrastructure decisions. • Communication & Leadership: • Successful completion of a background check. • 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. • What You’ll Receive: • The competitive base pay for this position ranges from $150,000 - $240,000 USD. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location • 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