Hammerspace obliterates data access delays for AI and high-performance computing. Its Data Platform delivers a high-throughput, low-latency parallel global file system unifying data from edge to core to multi-cloud, accessible via pNFS, NFSv3, SMB and S3 standards. Instant, agentless deployment with native Linux support combined with migration-free data assimilation radically accelerates pipelines. This approach keeps GPUs saturated, speeds time-to-insight, and boosts researcher and developer productivity.

This role is a rare opportunity to push the boundaries of large-scale storage performance, ensuring Hyperscale NAS delivers world-class efficiency and scalability. If you have expertise in high-performance storage, parallel filesystems, and network-aware performance tuning, we want you on our team.

What You’ll Do

Storage Performance Benchmarking & Analysis

• Own the end-to-end storage benchmarking process, from test configuration and execution to analysis and visualization.
• Conduct storage benchmarking using FIO, ensuring workloads accurately reflect real-world customer environments.
• Leverage experience with IOR, VDBench, and Elbencho to support customer PoCs and industry benchmarks.
• Analyze performance bottlenecks in storage across compute, networking, and system architecture—including NUMA topology, PCIe configurations, and network oversubscription.
• Understand parallel filesystems (Lustre, GPFS, BeeGFS, etc.), as Hyperscale NAS operates in a similar space, requiring familiarity with distributed storage architectures.
• Apply knowledge of HPC and AI/ML workloads, understanding their storage and performance demands.

Advanced Storage & Network Performance Engineering

• Query and analyze system-level performance data (e.g., NUMA node assignments, PCIe lane allocations, queue depth optimizations for NVMe devices).
• Optimize deployment architectures by understanding network oversubscription, lossless networking, and storage performance scaling.
• Preferred experience with high-performance networking technologies (RoCE, InfiniBand, NVMe-oF, PFC, ECN, DSCP, VLANs, leaf-spine networks) to ensure optimal performance in Hyperscale NAS environments.
• Collaborate with engineering to refine storage and networking configurations based on real-world performance data

Lab Automation, Data Instrumentation & Deployment

• Develop automation scripts for data collection, performance monitoring, and visualization (Python, Grafana, etc.).
• Optimize BIOS and kernel settings for storage performance, including IOMMU, SR-IOV, SMT, core pinning, and memory interleaving.
• Assist in customer PoCs and hybrid cloud deployments, ensuring best practices for storage performance.

Industry Engagement & Technical Content Development

• Collaborate with technical writers to develop benchmark reports, white papers, reference architectures, trade show collateral, and blogs.
• Present technical findings internally and externally, ensuring performance insights align with industry best practices.
• Lead or contribute to industry benchmarks (MLPerf Storage, STAC-M3, SPEC Storage, IO500).

Sales & Customer-Facing Technical Enablement

• Support sales engineers in system sizing, ensuring customers get optimal storage performance tailored to their workloads.
• Assist with performance benchmarking in customer environments, troubleshooting issues and providing real-time optimizations.
• Present performance findings to both technical and executive audiences.

What We’re Looking For

Must-Have Expertise

• Strong background in storage benchmarking, with hands-on experience using FIO and familiarity with IOR, VDBench, and Elbencho.
• Experience with parallel filesystems (Lustre, GPFS, BeeGFS, etc.), understanding their architectures and performance characteristics.
• Proficiency in querying system-level performance data, including NUMA node assignments, PCIe configurations, and NVMe queue optimizations.
• Preferred experience with high-performance networking technologies (RoCE, InfiniBand, NVMe-oF) and network tuning (PFC, ECN, DSCP, VLANs, leaf-spine networks).
• Familiarity with HPC and AI/ML workloads, understanding their unique storage and performance demands.
• Strong scripting and data visualization skills (Python, Grafana, pandas, or similar tools).
• Familiarity with BIOS tuning and kernel optimizations for storage performance.
• Experience working with technical writers to create benchmark reports, white papers, and customer-facing presentations.
• Excellent communication and presentation skills, with the ability to engage customers, partners, and executives.

Nice to Have

• Experience with cloud storage benchmarking (AWS, Azure, GCP, OCI).
• Familiarity with containerized storage performance (Kubernetes, CSI, NVMe-oF over TCP).
• Knowledge of AI/ML workloads and their storage/networking demands.

Pay range and compensation package

The anticipated base salary range for this role is $200,000 to $240,000. Actual compensation will be determined by several factors including, but not limited to, level of professional/education experience, skills/abilities, internal equity, and budgetary considerations. In addition, Hammerspace offers a broad range of health plans for medical, dental, vision, life and disability. We also offer 401k plans and flexible time off. Applications will be accepted until the position is filled

Equal Opportunity Statement

Hammerspace is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.

Notice to Recruiters and Staffing Agencies:
Agencies are hereby specifically directed not to contact Hammerspace employees directly in an attempt to present candidates. To protect the interests of all parties, Hammerspace will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Hammerspace will be considered Hammerspace property. Hammerspace will not pay a fee for any placement resulting from the receipt of an unsolicited resume. Hammerspace will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.

Agency must obtain advance written approval from Hammerspace’s recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Hammerspace will not pay a fee to any Agency that does not have such agreement in place.