> Markdown version of [/jobs/ext/2152916-hpc-storage-engineer](https://www.wearedevelopers.com/jobs/ext/2152916-hpc-storage-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # HPC Storage Engineer - **Company:** KLATencor Corporation - **Location:** Ann Arbor, MI, United States - **Experience:** Experienced - **Salary:** $105,900.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Computer Networks, RAID, File Systems, Distributed Data Store, Linux System Administration, Metadata, High Performance Computing, Storage Technologies, Low Latency, Data Management, Nvme - **Published:** August 20, 2026 - **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/403043576 ## About the Role Design, test, and tune storage systems that power real HPC workloads! The Computational Solutions Infrastructure Group (CSIG) at KLA builds scalable, highperformance infrastructure used by engineers running compute and dataintensive workloads. We're seeking an HPC Storage Engineer who wants handson experience working with production HPC storage systems. This role offers strong technical mentorship, realworld impact, and a clear path to seniorlevel HPC storage engineering!, 2-4 years experience in storage, systems, HPC, or infrastructure engineering Handson experience working in Linux environments Exposure to highperformance or enterprise storage systems Understanding of storage fundamentals: IOPS, latency, bandwidth Familiarity with: NVMe or SSDbased storage RAID and data protection concepts Parallel or distributed storage concepts (Lustrelike architectures) Nice to Have Exposure to HPC clusters or computeheavy workloads Basic knowledge of networking concepts related to storage Experience supporting systems that ship to customers Why Join the Team: Handson experience with real HPC storage systems Strong mentorship and a clear growth path Work on systems that are shipped, supported, and used globally Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years ## Description HPC Storage Development & Support Contribute to the design and implementation of highperformance storage for HPC environments Support storage configurations using NVMe, SSDs, RAID, and enterprise components Help balance performance, reliability, and cost under guidance from senior engineers Integration & Delivery Work with product, hardware, and HPC teams to integrate storage into shipped systems Support new product introduction (NPI), production ramps, and component changes Assist with storage qualification, testing, and documentation Performance & Troubleshooting Execute storage benchmarks aligned to real engineering workloads Analyze I/O behavior, throughput, latency, and metadata performance Troubleshoot storage and performance issues in Linux environments Learning & Collaboration Partner closely with senior HPC storage engineers and architects Learn best practices for productiongrade HPC storage design Build depth across hardware, OS, file systems, and performance tooling ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Learning Kubernetes made easy with KubeCampus](https://www.wearedevelopers.com/magazine/348-learning-kubernetes-made-easy-with-kubecampus) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [What does the history of data storage tell us about the future?](https://www.wearedevelopers.com/magazine/495-what-does-the-history-of-data-storage-tell-us-about-the-future) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)