HPC Engineer - Storage Focused

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.

Job Description/Preferred Qualifications

Design, test, and tune storage systems that power real HPC workloads! The Computational Solutions Infrastructure Group (CSIG) at KLA builds scalable, high‑performance infrastructure used by engineers running compute‑ and data‑intensive workloads. We’re seeking an HPC Storage Engineer who wants hands‑on experience working with production HPC storage systems. This role offers strong technical mentorship, real‑world impact, and a clear path to senior‑level HPC storage engineering!

Job Duties, but not limited to:

HPC Storage Development & Support

• Contribute to the design and implementation of high‑performance 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 production‑grade HPC storage design
• Build depth across hardware, OS, file systems, and performance tooling

Qualifications, but not limited to:

• 2–4 years experience in storage, systems, HPC, or infrastructure engineering
• Hands‑on experience working in Linux environments

• Exposure to high‑performance or enterprise storage systems
• Understanding of storage fundamentals: IOPS, latency, bandwidth
• Familiarity with:
  • NVMe or SSD‑based storage
  • RAID and data protection concepts
  • Parallel or distributed storage concepts (Lustre‑like architectures)

Nice to Have

• Exposure to HPC clusters or compute‑heavy workloads
• Basic knowledge of networking concepts related to storage
• Experience supporting syst